Overview

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Dataset statistics

Number of variables171
Number of observations113496
Missing cells16186
Missing cells (%)0.1%
Total size in memory187.0 MiB
Average record size in memory1.7 KiB

Variable types

Numeric165
Text6

Alerts

Longitud has 5324 (4.7%) missing values Missing
Latitud has 5324 (4.7%) missing values Missing
Altitud has 5324 (4.7%) missing values Missing
Población total is highly skewed (γ1 = 310.4801678) Skewed
Población femenina is highly skewed (γ1 = 310.3463929) Skewed
Población masculina is highly skewed (γ1 = 310.6116659) Skewed
Población de 0 a 2 años is highly skewed (γ1 = 312.084011) Skewed
Población femenina de 0 a 2 años is highly skewed (γ1 = 312.0836351) Skewed
Población masculina de 0 a 2 años is highly skewed (γ1 = 312.0836972) Skewed
Población de 3 años y más is highly skewed (γ1 = 310.3589445) Skewed
Población femenina de 3 años y más is highly skewed (γ1 = 310.2206723) Skewed
Población masculina de 3 años y más is highly skewed (γ1 = 310.4949099) Skewed
Población de 5 años y más is highly skewed (γ1 = 310.2890059) Skewed
Población femenina de 5 años y más is highly skewed (γ1 = 310.1474735) Skewed
Población masculina de 5 años y más is highly skewed (γ1 = 310.4281691) Skewed
Población de 12 años y más is highly skewed (γ1 = 310.0032933) Skewed
Población femenina de 12 años y más is highly skewed (γ1 = 309.8492305) Skewed
Población masculina de 12 años y más is highly skewed (γ1 = 310.154994) Skewed
Población de 15 años y más is highly skewed (γ1 = 309.8853685) Skewed
Población femenina de 15 años y más is highly skewed (γ1 = 309.7299965) Skewed
Población masculina de 15 años y más is highly skewed (γ1 = 310.0379895) Skewed
Población de 18 años y más is highly skewed (γ1 = 309.7812861) Skewed
Población femenina de 18 años y más is highly skewed (γ1 = 309.6191595) Skewed
Población masculina de 18 años y más is highly skewed (γ1 = 309.9405329) Skewed
Población de 3 a 5 años is highly skewed (γ1 = 311.7476934) Skewed
Población femenina de 3 a 5 años is highly skewed (γ1 = 311.7283267) Skewed
Población masculina de 3 a 5 años is highly skewed (γ1 = 311.7660659) Skewed
Población de 6 a 11 años is highly skewed (γ1 = 311.7354749) Skewed
Población femenina de 6 a 11 años is highly skewed (γ1 = 311.7452809) Skewed
Población masculina de 6 a 11 años is highly skewed (γ1 = 311.7254281) Skewed
Población de 8 a 14 años is highly skewed (γ1 = 311.5022684) Skewed
Población femenina de 8 a 14 años is highly skewed (γ1 = 311.4794657) Skewed
Población masculina de 8 a 14 años is highly skewed (γ1 = 311.5238847) Skewed
Población de 12 a 14 años is highly skewed (γ1 = 311.2978922) Skewed
Población femenina de 12 a 14 años is highly skewed (γ1 = 311.226831) Skewed
Población masculina de 12 a 14 años is highly skewed (γ1 = 311.3656539) Skewed
Población de 15 a 17 años is highly skewed (γ1 = 310.9310302) Skewed
Población femenina de 15 a 17 años is highly skewed (γ1 = 310.9204473) Skewed
Población masculina de 15 a 17 años is highly skewed (γ1 = 310.9400016) Skewed
Población de 18 a 24 años is highly skewed (γ1 = 310.4231501) Skewed
Población femenina de 18 a 24 años is highly skewed (γ1 = 310.5432075) Skewed
Población masculina de 18 a 24 años is highly skewed (γ1 = 310.2934654) Skewed
Población femenina de 15 a 49 años is highly skewed (γ1 = 310.068389) Skewed
Población de 60 años y más is highly skewed (γ1 = 309.2451703) Skewed
Población femenina de 60 años y más is highly skewed (γ1 = 308.5099581) Skewed
Población masculina de 60 años y más is highly skewed (γ1 = 310.0401594) Skewed
Relación hombres-mujeres is highly skewed (γ1 = 334.3959624) Skewed
Población de 0 a 14 años is highly skewed (γ1 = 311.7310351) Skewed
Población de 15 a 64 años is highly skewed (γ1 = 309.8524608) Skewed
Población de 65 años y más is highly skewed (γ1 = 309.4972089) Skewed
Población de 0 a 4 años is highly skewed (γ1 = 311.9603471) Skewed
Población femenina de 0 a 4 años is highly skewed (γ1 = 311.9555615) Skewed
Población masculina de 0 a 4 años is highly skewed (γ1 = 311.9646325) Skewed
Población de 5 a 9 años is highly skewed (γ1 = 311.8120766) Skewed
Población femenina de 5 a 9 años is highly skewed (γ1 = 311.8126836) Skewed
Población masculina de 5 a 9 años is highly skewed (γ1 = 311.8109337) Skewed
Población de 10 a 14 años is highly skewed (γ1 = 311.3877375) Skewed
Población femenina de 10 a 14 años is highly skewed (γ1 = 311.3491056) Skewed
Población masculina de 10 a 14 años is highly skewed (γ1 = 311.4245483) Skewed
Población de 15 a 19 años is highly skewed (γ1 = 310.8192791) Skewed
Población femenina de 15 a 19 años is highly skewed (γ1 = 310.8487395) Skewed
Población masculina de 15 a 19 años is highly skewed (γ1 = 310.7886337) Skewed
Población de 20 a 24 años is highly skewed (γ1 = 310.3283404) Skewed
Población femenina de 20 a 24 años is highly skewed (γ1 = 310.4629593) Skewed
Población masculina de 20 a 24 años is highly skewed (γ1 = 310.179666) Skewed
Población de 25 a 29 años is highly skewed (γ1 = 310.045775) Skewed
Población femenina de 25 a 29 años is highly skewed (γ1 = 310.2186796) Skewed
Población masculina de 25 a 29 años is highly skewed (γ1 = 309.8371362) Skewed
Población de 30 a 34 años is highly skewed (γ1 = 310.0560954) Skewed
Población femenina de 30 a 34 años is highly skewed (γ1 = 310.1367978) Skewed
Población masculina de 30 a 34 años is highly skewed (γ1 = 309.9390357) Skewed
Población de 35 a 39 años is highly skewed (γ1 = 309.835595) Skewed
Población femenina de 35 a 39 años is highly skewed (γ1 = 309.7855087) Skewed
Población masculina de 35 a 39 años is highly skewed (γ1 = 309.8593038) Skewed
Población de 40 a 44 años is highly skewed (γ1 = 309.7131599) Skewed
Población femenina de 40 a 44 años is highly skewed (γ1 = 309.5087423) Skewed
Población masculina de 40 a 44 años is highly skewed (γ1 = 309.908938) Skewed
Población de 45 a 49 años is highly skewed (γ1 = 308.9835947) Skewed
Población femenina de 45 a 49 años is highly skewed (γ1 = 308.707631) Skewed
Población masculina de 45 a 49 años is highly skewed (γ1 = 309.2512724) Skewed
Población de 50 a 54 años is highly skewed (γ1 = 308.7532618) Skewed
Población femenina de 50 a 54 años is highly skewed (γ1 = 308.4762803) Skewed
Población masculina de 50 a 54 años is highly skewed (γ1 = 309.0304076) Skewed
Población de 55 a 59 años is highly skewed (γ1 = 308.8542905) Skewed
Población femenina de 55 a 59 años is highly skewed (γ1 = 308.5162883) Skewed
Población masculina de 55 a 59 años is highly skewed (γ1 = 309.2033728) Skewed
Población de 60 a 64 años is highly skewed (γ1 = 308.5697278) Skewed
Población femenina de 60 a 64 años is highly skewed (γ1 = 308.049878) Skewed
Población masculina de 60 a 64 años is highly skewed (γ1 = 309.127737) Skewed
Población de 65 a 69 años is highly skewed (γ1 = 308.9970857) Skewed
Población femenina de 65 a 69 años is highly skewed (γ1 = 308.4156625) Skewed
Población masculina de 65 a 69 años is highly skewed (γ1 = 309.618541) Skewed
Población de 70 a 74 años is highly skewed (γ1 = 309.0049617) Skewed
Población femenina de 70 a 74 años is highly skewed (γ1 = 308.2243073) Skewed
Población masculina de 70 a 74 años is highly skewed (γ1 = 309.8319312) Skewed
Población de 75 a 79 años is highly skewed (γ1 = 309.9468592) Skewed
Población con discapacidad is highly skewed (γ1 = 311.307595) Skewed
Población con discapacidad para hablar o comunicarse is highly skewed (γ1 = 312.2775196) Skewed
Población con discapacidad para oír, aun usando aparato auditivo is highly skewed (γ1 = 310.5795549) Skewed
Población con discapacidad para vestirse, bañarse o comer is highly skewed (γ1 = 312.3283419) Skewed
Población con discapacidad para recordar o concentrarse is highly skewed (γ1 = 311.8625868) Skewed
Población con limitación is highly skewed (γ1 = 310.079821) Skewed
Población con limitación para caminar, subir o bajar is highly skewed (γ1 = 310.5997713) Skewed
Población con limitación para ver, aun usando lentes is highly skewed (γ1 = 309.4383502) Skewed
Población con limitación para hablar o comunicarse is highly skewed (γ1 = 311.1654146) Skewed
Población con limitación para oír, aun usando aparato auditivo is highly skewed (γ1 = 308.9666434) Skewed
Población con limitación para vestirse, bañarse o comer is highly skewed (γ1 = 309.2580349) Skewed
Población con limitación para recordar o concentrarse is highly skewed (γ1 = 310.378642) Skewed
Población con algún problema o condición mental is highly skewed (γ1 = 309.7727112) Skewed
Población sin discapacidad, limitación, problema o condición mental is highly skewed (γ1 = 310.4052454) Skewed
Población de 3 a 5 años que no asiste a la escuela is highly skewed (γ1 = 310.4026364) Skewed
Población femenina de 3 a 5 años que no asiste a la escuela is highly skewed (γ1 = 310.3515245) Skewed
Población masculina de 3 a 5 años que no asiste a la escuela is highly skewed (γ1 = 310.4502804) Skewed
Población de 6 a 11 años que no asiste a la escuela is highly skewed (γ1 = 309.126235) Skewed
Población femenina de 6 a 11 años que no asiste a la escuela is highly skewed (γ1 = 308.9006435) Skewed
Población masculina de 6 a 11 años que no asiste a la escuela is highly skewed (γ1 = 309.3182729) Skewed
Población de 12 a 14 años que no asiste a la escuela is highly skewed (γ1 = 310.1504936) Skewed
Población femenina de 12 a 14 años que no asiste a la escuela is highly skewed (γ1 = 309.4235869) Skewed
Población masculina de 12 a 14 años que no asiste a la escuela is highly skewed (γ1 = 310.6374981) Skewed
Población de 15 a 17 años que asiste a la escuela is highly skewed (γ1 = 310.1653715) Skewed
Población femenina de 15 a 17 años que asiste a la escuela is highly skewed (γ1 = 310.1538512) Skewed
Población masculina de 15 a 17 años que asiste a la escuela is highly skewed (γ1 = 310.168151) Skewed
Población de 18 a 24 años que asiste a la escuela is highly skewed (γ1 = 307.7588027) Skewed
Población femenina de 18 a 24 años que asiste a la escuela is highly skewed (γ1 = 307.8984594) Skewed
Población masculina de 18 a 24 años que asiste a la escuela is highly skewed (γ1 = 307.6028052) Skewed
Población de 8 a 14 años que no sabe leer y escribir is highly skewed (γ1 = 307.603882) Skewed
Población femenina de 8 a 14 años que no sabe leer y escribir is highly skewed (γ1 = 305.7019323) Skewed
Población masculina de 8 a 14 años que no sabe leer y escribir is highly skewed (γ1 = 308.9062696) Skewed
Población de 15 años y más analfabeta is highly skewed (γ1 = 308.0142978) Skewed
Población femenina de 15 años y más analfabeta is highly skewed (γ1 = 306.6005631) Skewed
Población masculina de 15 años y más analfabeta is highly skewed (γ1 = 309.737678) Skewed
Población de 15 años y más sin escolaridad is highly skewed (γ1 = 309.4449428) Skewed
Población femenina de 15 años y más sin escolaridad is highly skewed (γ1 = 308.0359061) Skewed
Población masculina de 15 años y más sin escolaridad is highly skewed (γ1 = 310.9720438) Skewed
Población de 15 años y más con primaria incompleta is highly skewed (γ1 = 311.9618849) Skewed
Población femenina de 15 años y más con primaria incompleta is highly skewed (γ1 = 311.2102521) Skewed
Población masculina de 15 años y más con primaria incompleta is highly skewed (γ1 = 312.6367166) Skewed
Población de 15 años y más con primaria completa is highly skewed (γ1 = 310.5969102) Skewed
Población femenina de 15 años y más con primaria completa is highly skewed (γ1 = 309.9899848) Skewed
Población masculina de 15 años y más con primaria completa is highly skewed (γ1 = 311.2038483) Skewed
Población de 15 años y más con secundaria incompleta is highly skewed (γ1 = 310.6143677) Skewed
Población femenina de 15 años y más con secundaria incompleta is highly skewed (γ1 = 310.6636968) Skewed
Población masculina de 15 años y más con secundaria incompleta is highly skewed (γ1 = 310.534371) Skewed
Población de 15 años y más con secundaria completa is highly skewed (γ1 = 310.0722097) Skewed
Población femenina de 15 años y más con secundaria completa is highly skewed (γ1 = 310.3561952) Skewed
Población masculina de 15 años y más con secundaria completa is highly skewed (γ1 = 309.7424807) Skewed
Población de 18 años y más con educación posbásica is highly skewed (γ1 = 306.2944049) Skewed
Población femenina de 18 años y más con educación posbásica is highly skewed (γ1 = 306.2302228) Skewed
Población masculina de 18 años y más con educación posbásica is highly skewed (γ1 = 306.3403449) Skewed
Población de 12 años y más económicamente activa is highly skewed (γ1 = 309.6915631) Skewed
Población femenina de 12 años y más económicamente activa is highly skewed (γ1 = 308.8502387) Skewed
Población masculina de 12 años y más económicamente activa is highly skewed (γ1 = 310.2062742) Skewed
Población de 12 años y más no económicamente activa is highly skewed (γ1 = 310.3749626) Skewed
Población femenina de 12 años y más no económicamente activa is highly skewed (γ1 = 310.5793265) Skewed
Población masculina de 12 años y más no económicamente activa is highly skewed (γ1 = 309.7428511) Skewed
Población de 12 años y más ocupada is highly skewed (γ1 = 309.7199917) Skewed
Población femenina de 12 años y más ocupada is highly skewed (γ1 = 308.9006612) Skewed
Población masculina de 12 años y más ocupada is highly skewed (γ1 = 310.2265877) Skewed
Población de 12 años y más desocupada is highly skewed (γ1 = 307.508858) Skewed
Población femenina de 12 años y más desocupada is highly skewed (γ1 = 303.6879131) Skewed
Población masculina de 12 años y más desocupada is highly skewed (γ1 = 308.7022194) Skewed
Unnamed: 0 has unique values Unique
Clave de localidad has 2502 (2.2%) zeros Zeros
Población de 0 a 2 años has 16179 (14.3%) zeros Zeros
Población femenina de 0 a 2 años has 26998 (23.8%) zeros Zeros
Población masculina de 0 a 2 años has 26685 (23.5%) zeros Zeros
Población de 3 a 5 años has 15215 (13.4%) zeros Zeros
Población femenina de 3 a 5 años has 26050 (23.0%) zeros Zeros
Población masculina de 3 a 5 años has 25408 (22.4%) zeros Zeros
Población de 6 a 11 años has 8936 (7.9%) zeros Zeros
Población femenina de 6 a 11 años has 16634 (14.7%) zeros Zeros
Población masculina de 6 a 11 años has 16024 (14.1%) zeros Zeros
Población de 8 a 14 años has 7796 (6.9%) zeros Zeros
Población femenina de 8 a 14 años has 14831 (13.1%) zeros Zeros
Población masculina de 8 a 14 años has 14048 (12.4%) zeros Zeros
Población de 12 a 14 años has 15975 (14.1%) zeros Zeros
Población femenina de 12 a 14 años has 26789 (23.6%) zeros Zeros
Población masculina de 12 a 14 años has 25821 (22.8%) zeros Zeros
Población de 15 a 17 años has 16878 (14.9%) zeros Zeros
Población femenina de 15 a 17 años has 27727 (24.4%) zeros Zeros
Población masculina de 15 a 17 años has 26689 (23.5%) zeros Zeros
Población de 18 a 24 años has 9097 (8.0%) zeros Zeros
Población femenina de 18 a 24 años has 16124 (14.2%) zeros Zeros
Población masculina de 18 a 24 años has 16503 (14.5%) zeros Zeros
Población femenina de 15 a 49 años has 1566 (1.4%) zeros Zeros
Población de 60 años y más has 5247 (4.6%) zeros Zeros
Población femenina de 60 años y más has 11676 (10.3%) zeros Zeros
Población masculina de 60 años y más has 9401 (8.3%) zeros Zeros
Población de 0 a 14 años has 3383 (3.0%) zeros Zeros
Población de 65 años y más has 8992 (7.9%) zeros Zeros
Población de 0 a 4 años has 10186 (9.0%) zeros Zeros
Población femenina de 0 a 4 años has 18750 (16.5%) zeros Zeros
Población masculina de 0 a 4 años has 18419 (16.2%) zeros Zeros
Población de 5 a 9 años has 10392 (9.2%) zeros Zeros
Población femenina de 5 a 9 años has 18811 (16.6%) zeros Zeros
Población masculina de 5 a 9 años has 18286 (16.1%) zeros Zeros
Población de 10 a 14 años has 10512 (9.3%) zeros Zeros
Población femenina de 10 a 14 años has 19106 (16.8%) zeros Zeros
Población masculina de 10 a 14 años has 18236 (16.1%) zeros Zeros
Población de 15 a 19 años has 11405 (10.0%) zeros Zeros
Población femenina de 15 a 19 años has 20174 (17.8%) zeros Zeros
Población masculina de 15 a 19 años has 19501 (17.2%) zeros Zeros
Población de 20 a 24 años has 12964 (11.4%) zeros Zeros
Población femenina de 20 a 24 años has 21486 (18.9%) zeros Zeros
Población masculina de 20 a 24 años has 22079 (19.5%) zeros Zeros
Población de 25 a 29 años has 13896 (12.2%) zeros Zeros
Población femenina de 25 a 29 años has 22070 (19.4%) zeros Zeros
Población masculina de 25 a 29 años has 23108 (20.4%) zeros Zeros
Población de 30 a 34 años has 14293 (12.6%) zeros Zeros
Población femenina de 30 a 34 años has 22872 (20.2%) zeros Zeros
Población masculina de 30 a 34 años has 23768 (20.9%) zeros Zeros
Población de 35 a 39 años has 14747 (13.0%) zeros Zeros
Población femenina de 35 a 39 años has 23785 (21.0%) zeros Zeros
Población masculina de 35 a 39 años has 24094 (21.2%) zeros Zeros
Población de 40 a 44 años has 14988 (13.2%) zeros Zeros
Población femenina de 40 a 44 años has 24771 (21.8%) zeros Zeros
Población masculina de 40 a 44 años has 24193 (21.3%) zeros Zeros
Población de 45 a 49 años has 15809 (13.9%) zeros Zeros
Población femenina de 45 a 49 años has 26134 (23.0%) zeros Zeros
Población masculina de 45 a 49 años has 25010 (22.0%) zeros Zeros
Población de 50 a 54 años has 17117 (15.1%) zeros Zeros
Población femenina de 50 a 54 años has 27966 (24.6%) zeros Zeros
Población masculina de 50 a 54 años has 26792 (23.6%) zeros Zeros
Población de 55 a 59 años has 19739 (17.4%) zeros Zeros
Población femenina de 55 a 59 años has 31065 (27.4%) zeros Zeros
Población masculina de 55 a 59 años has 30037 (26.5%) zeros Zeros
Población de 60 a 64 años has 22174 (19.5%) zeros Zeros
Población femenina de 60 a 64 años has 34249 (30.2%) zeros Zeros
Población masculina de 60 a 64 años has 32716 (28.8%) zeros Zeros
Población de 65 a 69 años has 25336 (22.3%) zeros Zeros
Población femenina de 65 a 69 años has 37881 (33.4%) zeros Zeros
Población masculina de 65 a 69 años has 36140 (31.8%) zeros Zeros
Población de 70 a 74 años has 30595 (27.0%) zeros Zeros
Población femenina de 70 a 74 años has 44080 (38.8%) zeros Zeros
Población masculina de 70 a 74 años has 41800 (36.8%) zeros Zeros
Población de 75 a 79 años has 36158 (31.9%) zeros Zeros
Población con discapacidad has 19247 (17.0%) zeros Zeros
Población con discapacidad para hablar o comunicarse has 49095 (43.3%) zeros Zeros
Población con discapacidad para oír, aun usando aparato auditivo has 42410 (37.4%) zeros Zeros
Población con discapacidad para vestirse, bañarse o comer has 47822 (42.1%) zeros Zeros
Población con discapacidad para recordar o concentrarse has 48302 (42.6%) zeros Zeros
Población con limitación has 10320 (9.1%) zeros Zeros
Población con limitación para caminar, subir o bajar has 23562 (20.8%) zeros Zeros
Población con limitación para ver, aun usando lentes has 18446 (16.3%) zeros Zeros
Población con limitación para hablar o comunicarse has 56095 (49.4%) zeros Zeros
Población con limitación para oír, aun usando aparato auditivo has 30306 (26.7%) zeros Zeros
Población con limitación para vestirse, bañarse o comer has 63003 (55.5%) zeros Zeros
Población con limitación para recordar o concentrarse has 38704 (34.1%) zeros Zeros
Población con algún problema o condición mental has 47191 (41.6%) zeros Zeros
Población de 3 a 5 años que no asiste a la escuela has 30586 (26.9%) zeros Zeros
Población femenina de 3 a 5 años que no asiste a la escuela has 45030 (39.7%) zeros Zeros
Población masculina de 3 a 5 años que no asiste a la escuela has 44045 (38.8%) zeros Zeros
Población de 6 a 11 años que no asiste a la escuela has 62736 (55.3%) zeros Zeros
Población femenina de 6 a 11 años que no asiste a la escuela has 75972 (66.9%) zeros Zeros
Población masculina de 6 a 11 años que no asiste a la escuela has 73847 (65.1%) zeros Zeros
Población de 12 a 14 años que no asiste a la escuela has 53035 (46.7%) zeros Zeros
Población femenina de 12 a 14 años que no asiste a la escuela has 68573 (60.4%) zeros Zeros
Población masculina de 12 a 14 años que no asiste a la escuela has 64979 (57.3%) zeros Zeros
Población de 15 a 17 años que asiste a la escuela has 29431 (25.9%) zeros Zeros
Población femenina de 15 a 17 años que asiste a la escuela has 40947 (36.1%) zeros Zeros
Población masculina de 15 a 17 años que asiste a la escuela has 40876 (36.0%) zeros Zeros
Población de 18 a 24 años que asiste a la escuela has 42520 (37.5%) zeros Zeros
Población femenina de 18 a 24 años que asiste a la escuela has 54232 (47.8%) zeros Zeros
Población masculina de 18 a 24 años que asiste a la escuela has 55152 (48.6%) zeros Zeros
Población de 8 a 14 años que no sabe leer y escribir has 62237 (54.8%) zeros Zeros
Población femenina de 8 a 14 años que no sabe leer y escribir has 77609 (68.4%) zeros Zeros
Población masculina de 8 a 14 años que no sabe leer y escribir has 71536 (63.0%) zeros Zeros
Población de 15 años y más analfabeta has 12833 (11.3%) zeros Zeros
Población femenina de 15 años y más analfabeta has 19851 (17.5%) zeros Zeros
Población masculina de 15 años y más analfabeta has 22047 (19.4%) zeros Zeros
Población de 15 años y más sin escolaridad has 12159 (10.7%) zeros Zeros
Población femenina de 15 años y más sin escolaridad has 19443 (17.1%) zeros Zeros
Población masculina de 15 años y más sin escolaridad has 20680 (18.2%) zeros Zeros
Población de 15 años y más con primaria incompleta has 7011 (6.2%) zeros Zeros
Población femenina de 15 años y más con primaria incompleta has 14753 (13.0%) zeros Zeros
Población masculina de 15 años y más con primaria incompleta has 12388 (10.9%) zeros Zeros
Población de 15 años y más con primaria completa has 5491 (4.8%) zeros Zeros
Población femenina de 15 años y más con primaria completa has 12313 (10.8%) zeros Zeros
Población masculina de 15 años y más con primaria completa has 11050 (9.7%) zeros Zeros
Población de 15 años y más con secundaria incompleta has 30895 (27.2%) zeros Zeros
Población femenina de 15 años y más con secundaria incompleta has 45583 (40.2%) zeros Zeros
Población masculina de 15 años y más con secundaria incompleta has 41433 (36.5%) zeros Zeros
Población de 15 años y más con secundaria completa has 6623 (5.8%) zeros Zeros
Población femenina de 15 años y más con secundaria completa has 12289 (10.8%) zeros Zeros
Población masculina de 15 años y más con secundaria completa has 12938 (11.4%) zeros Zeros
Población de 18 años y más con educación posbásica has 14374 (12.7%) zeros Zeros
Población femenina de 18 años y más con educación posbásica has 22084 (19.5%) zeros Zeros
Población masculina de 18 años y más con educación posbásica has 22363 (19.7%) zeros Zeros
Población femenina de 12 años y más económicamente activa has 10777 (9.5%) zeros Zeros
Población de 12 años y más no económicamente activa has 2955 (2.6%) zeros Zeros
Población femenina de 12 años y más no económicamente activa has 4127 (3.6%) zeros Zeros
Población masculina de 12 años y más no económicamente activa has 14886 (13.1%) zeros Zeros
Población femenina de 12 años y más ocupada has 11109 (9.8%) zeros Zeros
Población de 12 años y más desocupada has 73145 (64.4%) zeros Zeros
Población femenina de 12 años y más desocupada has 92811 (81.8%) zeros Zeros
Población masculina de 12 años y más desocupada has 75996 (67.0%) zeros Zeros

Reproduction

Analysis started2024-10-22 05:53:10.604505
Analysis finished2024-10-22 05:53:25.193314
Duration14.59 seconds
Software versionydata-profiling vv4.11.0
Download configurationconfig.json

Variables

Unnamed: 0
Real number (ℝ)

Unique 

Distinct113496
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101075.8482
Minimum0
Maximum195661
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:25.557644image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18332.5
Q161231.75
median99844.5
Q3141831.5
95-th percentile185526.25
Maximum195661
Range195661
Interquartile range (IQR)80599.75

Descriptive statistics

Standard deviation52455.52111
Coefficient of variation (CV)0.5189718619
Kurtosis-1.007322295
Mean101075.8482
Median Absolute Deviation (MAD)40260
Skewness4.308220437 × 10-5
Sum1.147170446 × 1010
Variance2751581695
MonotonicityStrictly increasing
2024-10-21T22:53:25.928781image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1
 
< 0.1%
127615 1
 
< 0.1%
127628 1
 
< 0.1%
127627 1
 
< 0.1%
127626 1
 
< 0.1%
127624 1
 
< 0.1%
127623 1
 
< 0.1%
127622 1
 
< 0.1%
127621 1
 
< 0.1%
127619 1
 
< 0.1%
Other values (113486) 113486
> 99.9%
ValueCountFrequency (%)
0 1
< 0.1%
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
ValueCountFrequency (%)
195661 1
< 0.1%
195659 1
< 0.1%
195657 1
< 0.1%
195656 1
< 0.1%
195655 1
< 0.1%
Distinct33
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.23425495
Minimum0
Maximum32
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:26.197578image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q111
median16
Q324
95-th percentile30
Maximum32
Range32
Interquartile range (IQR)13

Descriptive statistics

Standard deviation8.320416485
Coefficient of variation (CV)0.4827836485
Kurtosis-1.066732823
Mean17.23425495
Median Absolute Deviation (MAD)6
Skewness0.165238743
Sum1956019
Variance69.22933049
MonotonicityIncreasing
2024-10-21T22:53:26.424484image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
30 12738
 
11.2%
7 12271
 
10.8%
20 9218
 
8.1%
14 6462
 
5.7%
11 6242
 
5.5%
16 6076
 
5.4%
21 5739
 
5.1%
12 5555
 
4.9%
8 5117
 
4.5%
15 4767
 
4.2%
Other values (23) 39311
34.6%
ValueCountFrequency (%)
0 3
 
< 0.1%
1 986
0.9%
2 1807
1.6%
3 511
 
0.5%
4 821
0.7%
ValueCountFrequency (%)
32 2776
 
2.4%
31 1042
 
0.9%
30 12738
11.2%
29 735
 
0.6%
28 2343
 
2.1%
Distinct33
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.9 MiB
2024-10-21T22:53:26.672813image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length31
Median length20
Mean length11.41770635
Min length6

Characters and Unicode

Total characters1295864
Distinct characters48
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowTotal nacional
2nd rowTotal nacional
3rd rowTotal nacional
4th rowAguascalientes
5th rowAguascalientes
ValueCountFrequency (%)
de 33327
16.1%
veracruz 12738
 
6.1%
ignacio 12738
 
6.1%
la 12738
 
6.1%
llave 12738
 
6.1%
chiapas 12271
 
5.9%
oaxaca 9218
 
4.4%
jalisco 6462
 
3.1%
guanajuato 6242
 
3.0%
michoacán 6076
 
2.9%
Other values (35) 82630
39.9%
2024-10-21T22:53:27.220458image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 224018
17.3%
93682
 
7.2%
e 89400
 
6.9%
o 86761
 
6.7%
c 75881
 
5.9%
i 71662
 
5.5%
u 65430
 
5.0%
r 57682
 
4.5%
l 55020
 
4.2%
n 45408
 
3.5%
Other values (38) 430920
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1295864
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 224018
17.3%
93682
 
7.2%
e 89400
 
6.9%
o 86761
 
6.7%
c 75881
 
5.9%
i 71662
 
5.5%
u 65430
 
5.0%
r 57682
 
4.5%
l 55020
 
4.2%
n 45408
 
3.5%
Other values (38) 430920
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1295864
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 224018
17.3%
93682
 
7.2%
e 89400
 
6.9%
o 86761
 
6.7%
c 75881
 
5.9%
i 71662
 
5.5%
u 65430
 
5.0%
r 57682
 
4.5%
l 55020
 
4.2%
n 45408
 
3.5%
Other values (38) 430920
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1295864
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 224018
17.3%
93682
 
7.2%
e 89400
 
6.9%
o 86761
 
6.7%
c 75881
 
5.9%
i 71662
 
5.5%
u 65430
 
5.0%
r 57682
 
4.5%
l 55020
 
4.2%
n 45408
 
3.5%
Other values (38) 430920
33.3%
Distinct571
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.24722457
Minimum0
Maximum570
Zeros99
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:27.506258image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q115
median38
Q383
95-th percentile212
Maximum570
Range570
Interquartile range (IQR)68

Descriptive statistics

Standard deviation90.25580468
Coefficient of variation (CV)1.322483152
Kurtosis10.16256381
Mean68.24722457
Median Absolute Deviation (MAD)28
Skewness2.95640622
Sum7745787
Variance8146.110279
MonotonicityNot monotonic
2024-10-21T22:53:27.827843image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 2631
 
2.3%
1 2604
 
2.3%
2 2461
 
2.2%
17 2250
 
2.0%
9 2139
 
1.9%
8 2064
 
1.8%
14 2046
 
1.8%
4 1984
 
1.7%
6 1931
 
1.7%
7 1784
 
1.6%
Other values (561) 91602
80.7%
ValueCountFrequency (%)
0 99
 
0.1%
1 2604
2.3%
2 2461
2.2%
3 2631
2.3%
4 1984
1.7%
ValueCountFrequency (%)
570 28
< 0.1%
569 25
< 0.1%
568 4
 
< 0.1%
567 12
< 0.1%
566 18
< 0.1%
Distinct2359
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size7.2 MiB
2024-10-21T22:53:28.280541image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length76
Median length39
Mean length12.23742687
Min length3

Characters and Unicode

Total characters1388899
Distinct characters62
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowTotal nacional
2nd rowTotal nacional
3rd rowTotal nacional
4th rowTotal de la entidad Aguascalientes
5th rowTotal de la entidad Aguascalientes
ValueCountFrequency (%)
de 17258
 
8.5%
san 10118
 
5.0%
la 3693
 
1.8%
del 2864
 
1.4%
santa 2265
 
1.1%
villa 2055
 
1.0%
el 1921
 
0.9%
maría 1758
 
0.9%
santiago 1729
 
0.9%
juan 1587
 
0.8%
Other values (2196) 158160
77.8%
2024-10-21T22:53:29.073424image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 198928
14.3%
e 100493
 
7.2%
o 96778
 
7.0%
l 92462
 
6.7%
89912
 
6.5%
n 85487
 
6.2%
i 70670
 
5.1%
t 60432
 
4.4%
u 55782
 
4.0%
c 53510
 
3.9%
Other values (52) 484445
34.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1388899
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 198928
14.3%
e 100493
 
7.2%
o 96778
 
7.0%
l 92462
 
6.7%
89912
 
6.5%
n 85487
 
6.2%
i 70670
 
5.1%
t 60432
 
4.4%
u 55782
 
4.0%
c 53510
 
3.9%
Other values (52) 484445
34.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1388899
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 198928
14.3%
e 100493
 
7.2%
o 96778
 
7.0%
l 92462
 
6.7%
89912
 
6.5%
n 85487
 
6.2%
i 70670
 
5.1%
t 60432
 
4.4%
u 55782
 
4.0%
c 53510
 
3.9%
Other values (52) 484445
34.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1388899
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 198928
14.3%
e 100493
 
7.2%
o 96778
 
7.0%
l 92462
 
6.7%
89912
 
6.5%
n 85487
 
6.2%
i 70670
 
5.1%
t 60432
 
4.4%
u 55782
 
4.0%
c 53510
 
3.9%
Other values (52) 484445
34.9%

Clave de localidad
Real number (ℝ)

Zeros 

Distinct3450
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean494.7818602
Minimum0
Maximum9999
Zeros2502
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:29.410683image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q124
median81
Q3261
95-th percentile1674
Maximum9999
Range9999
Interquartile range (IQR)237

Descriptive statistics

Standard deviation1601.698329
Coefficient of variation (CV)3.237180782
Kurtosis28.11431421
Mean494.7818602
Median Absolute Deviation (MAD)70
Skewness5.305903447
Sum56155762
Variance2565437.538
MonotonicityNot monotonic
2024-10-21T22:53:29.713450image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2502
 
2.2%
1 2467
 
2.2%
9998 1492
 
1.3%
2 1485
 
1.3%
3 1408
 
1.2%
4 1354
 
1.2%
9999 1330
 
1.2%
5 1291
 
1.1%
6 1198
 
1.1%
7 1194
 
1.1%
Other values (3440) 97775
86.1%
ValueCountFrequency (%)
0 2502
2.2%
1 2467
2.2%
2 1485
1.3%
3 1408
1.2%
4 1354
1.2%
ValueCountFrequency (%)
9999 1330
1.2%
9998 1492
1.3%
6454 1
 
< 0.1%
5921 1
 
< 0.1%
5907 1
 
< 0.1%
Distinct64953
Distinct (%)57.2%
Missing0
Missing (%)0.0%
Memory size7.4 MiB
2024-10-21T22:53:30.261449image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length95
Median length63
Mean length15.76667019
Min length2

Characters and Unicode

Total characters1789454
Distinct characters93
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56819 ?
Unique (%)50.1%

Sample

1st rowTotal nacional
2nd rowLocalidades de una vivienda
3rd rowLocalidades de dos viviendas
4th rowTotal de la Entidad
5th rowLocalidades de una vivienda
ValueCountFrequency (%)
el 19490
 
6.7%
de 17302
 
5.9%
la 15975
 
5.5%
san 12395
 
4.2%
del 6336
 
2.2%
los 6209
 
2.1%
las 5139
 
1.8%
santa 3680
 
1.3%
localidades 2822
 
1.0%
colonia 2810
 
1.0%
Other values (28146) 200656
68.5%
2024-10-21T22:53:31.147150image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 232087
 
13.0%
179332
 
10.0%
o 133429
 
7.5%
e 123664
 
6.9%
l 104319
 
5.8%
i 100356
 
5.6%
n 98455
 
5.5%
r 81969
 
4.6%
s 64083
 
3.6%
d 59315
 
3.3%
Other values (83) 612445
34.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1789454
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 232087
 
13.0%
179332
 
10.0%
o 133429
 
7.5%
e 123664
 
6.9%
l 104319
 
5.8%
i 100356
 
5.6%
n 98455
 
5.5%
r 81969
 
4.6%
s 64083
 
3.6%
d 59315
 
3.3%
Other values (83) 612445
34.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1789454
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 232087
 
13.0%
179332
 
10.0%
o 133429
 
7.5%
e 123664
 
6.9%
l 104319
 
5.8%
i 100356
 
5.6%
n 98455
 
5.5%
r 81969
 
4.6%
s 64083
 
3.6%
d 59315
 
3.3%
Other values (83) 612445
34.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1789454
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 232087
 
13.0%
179332
 
10.0%
o 133429
 
7.5%
e 123664
 
6.9%
l 104319
 
5.8%
i 100356
 
5.6%
n 98455
 
5.5%
r 81969
 
4.6%
s 64083
 
3.6%
d 59315
 
3.3%
Other values (83) 612445
34.2%

Longitud
Text

Missing 

Distinct107961
Distinct (%)99.8%
Missing5324
Missing (%)4.7%
Memory size8.5 MiB
2024-10-21T22:53:31.559891image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length16
Median length16
Mean length16
Min length16

Characters and Unicode

Total characters1730752
Distinct characters16
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107753 ?
Unique (%)99.6%

Sample

1st row102°17'45.768" W
2nd row102°21'25.639" W
3rd row102°16'26.238" W
4th row102°07'29.341" W
5th row102°17'35.503" W
ValueCountFrequency (%)
w 108172
50.0%
103°30'23.000 3
 
< 0.1%
102°20'16.000 3
 
< 0.1%
101°54'16.000 3
 
< 0.1%
102°15'50.000 2
 
< 0.1%
102°26'44.000 2
 
< 0.1%
103°44'24.000 2
 
< 0.1%
94°44'21.379 2
 
< 0.1%
98°31'33.449 2
 
< 0.1%
103°49'50.000 2
 
< 0.1%
Other values (107952) 108151
50.0%
2024-10-21T22:53:32.298327image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
170071
 
9.8%
0 153101
 
8.8%
1 150478
 
8.7%
9 126030
 
7.3%
° 108172
 
6.2%
' 108172
 
6.2%
. 108172
 
6.2%
" 108172
 
6.2%
W 108172
 
6.2%
2 103773
 
6.0%
Other values (6) 486439
28.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1730752
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
170071
 
9.8%
0 153101
 
8.8%
1 150478
 
8.7%
9 126030
 
7.3%
° 108172
 
6.2%
' 108172
 
6.2%
. 108172
 
6.2%
" 108172
 
6.2%
W 108172
 
6.2%
2 103773
 
6.0%
Other values (6) 486439
28.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1730752
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
170071
 
9.8%
0 153101
 
8.8%
1 150478
 
8.7%
9 126030
 
7.3%
° 108172
 
6.2%
' 108172
 
6.2%
. 108172
 
6.2%
" 108172
 
6.2%
W 108172
 
6.2%
2 103773
 
6.0%
Other values (6) 486439
28.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1730752
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
170071
 
9.8%
0 153101
 
8.8%
1 150478
 
8.7%
9 126030
 
7.3%
° 108172
 
6.2%
' 108172
 
6.2%
. 108172
 
6.2%
" 108172
 
6.2%
W 108172
 
6.2%
2 103773
 
6.0%
Other values (6) 486439
28.1%

Latitud
Text

Missing 

Distinct107799
Distinct (%)99.7%
Missing5324
Missing (%)4.7%
Memory size8.4 MiB
2024-10-21T22:53:32.859148image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters1622580
Distinct characters16
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107437 ?
Unique (%)99.3%

Sample

1st row21°52'47.362" N
2nd row21°53'01.522" N
3rd row21°48'06.384" N
4th row21°44'50.978" N
5th row21°43'08.930" N
ValueCountFrequency (%)
n 108172
50.0%
20°31'41.000 3
 
< 0.1%
20°10'50.000 3
 
< 0.1%
21°20'38.000 3
 
< 0.1%
20°22'42.000 3
 
< 0.1%
20°34'09.000 3
 
< 0.1%
20°22'30.000 3
 
< 0.1%
19°00'49.000 3
 
< 0.1%
21°23'35.000 3
 
< 0.1%
21°11'07.000 3
 
< 0.1%
Other values (107790) 108145
50.0%
2024-10-21T22:53:33.853383image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 156429
 
9.6%
2 145364
 
9.0%
0 115740
 
7.1%
° 108172
 
6.7%
' 108172
 
6.7%
. 108172
 
6.7%
" 108172
 
6.7%
108172
 
6.7%
N 108172
 
6.7%
5 98743
 
6.1%
Other values (6) 457272
28.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1622580
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 156429
 
9.6%
2 145364
 
9.0%
0 115740
 
7.1%
° 108172
 
6.7%
' 108172
 
6.7%
. 108172
 
6.7%
" 108172
 
6.7%
108172
 
6.7%
N 108172
 
6.7%
5 98743
 
6.1%
Other values (6) 457272
28.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1622580
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 156429
 
9.6%
2 145364
 
9.0%
0 115740
 
7.1%
° 108172
 
6.7%
' 108172
 
6.7%
. 108172
 
6.7%
" 108172
 
6.7%
108172
 
6.7%
N 108172
 
6.7%
5 98743
 
6.1%
Other values (6) 457272
28.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1622580
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 156429
 
9.6%
2 145364
 
9.0%
0 115740
 
7.1%
° 108172
 
6.7%
' 108172
 
6.7%
. 108172
 
6.7%
" 108172
 
6.7%
108172
 
6.7%
N 108172
 
6.7%
5 98743
 
6.1%
Other values (6) 457272
28.2%

Altitud
Text

Missing 

Distinct5629
Distinct (%)5.2%
Missing5324
Missing (%)4.7%
Memory size5.8 MiB
2024-10-21T22:53:34.681242image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.216544022
Min length3

Characters and Unicode

Total characters564284
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique605 ?
Unique (%)0.6%

Sample

1st row1878.0
2nd row1861.0
3rd row1892.0
4th row1971.0
5th row1871.0
ValueCountFrequency (%)
10.0 685
 
0.6%
9.0 558
 
0.5%
20.0 549
 
0.5%
19.0 378
 
0.3%
6.0 372
 
0.3%
8.0 365
 
0.3%
2.0 344
 
0.3%
7.0 342
 
0.3%
30.0 341
 
0.3%
40.0 324
 
0.3%
Other values (5606) 103914
96.1%
2024-10-21T22:53:35.787426image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 143036
25.3%
. 94579
16.8%
1 74490
13.2%
2 57452
10.2%
3 29052
 
5.1%
9 28464
 
5.0%
4 28009
 
5.0%
6 27767
 
4.9%
8 27703
 
4.9%
5 26769
 
4.7%
Other values (2) 26963
 
4.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 564284
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 143036
25.3%
. 94579
16.8%
1 74490
13.2%
2 57452
10.2%
3 29052
 
5.1%
9 28464
 
5.0%
4 28009
 
5.0%
6 27767
 
4.9%
8 27703
 
4.9%
5 26769
 
4.7%
Other values (2) 26963
 
4.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 564284
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 143036
25.3%
. 94579
16.8%
1 74490
13.2%
2 57452
10.2%
3 29052
 
5.1%
9 28464
 
5.0%
4 28009
 
5.0%
6 27767
 
4.9%
8 27703
 
4.9%
5 26769
 
4.7%
Other values (2) 26963
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 564284
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 143036
25.3%
. 94579
16.8%
1 74490
13.2%
2 57452
10.2%
3 29052
 
5.1%
9 28464
 
5.0%
4 28009
 
5.0%
6 27767
 
4.9%
8 27703
 
4.9%
5 26769
 
4.7%
Other values (2) 26963
 
4.8%

Población total
Real number (ℝ)

Skewed 

Distinct7649
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4447.93487
Minimum1
Maximum126014024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:36.088168image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q128
median104
Q3369.25
95-th percentile2971
Maximum126014024
Range126014023
Interquartile range (IQR)341.25

Descriptive statistics

Standard deviation384892.4826
Coefficient of variation (CV)86.53285039
Kurtosis101268.4858
Mean4447.93487
Median Absolute Deviation (MAD)89
Skewness310.4801678
Sum504822816
Variance1.481422232 × 1011
MonotonicityNot monotonic
2024-10-21T22:53:36.349632image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 1730
 
1.5%
11 1716
 
1.5%
10 1714
 
1.5%
13 1597
 
1.4%
15 1544
 
1.4%
14 1534
 
1.4%
9 1464
 
1.3%
17 1388
 
1.2%
16 1382
 
1.2%
18 1282
 
1.1%
Other values (7639) 98145
86.5%
ValueCountFrequency (%)
1 1
 
< 0.1%
3 136
 
0.1%
4 331
0.3%
5 525
0.5%
6 724
0.6%
ValueCountFrequency (%)
126014024 1
< 0.1%
16992418 1
< 0.1%
9209944 1
< 0.1%
8348151 1
< 0.1%
8062579 1
< 0.1%

Población femenina
Real number (ℝ)

Skewed 

Distinct5811
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2277.319826
Minimum0
Maximum64540634
Zeros214
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:36.707445image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q114
median52
Q3186
95-th percentile1513.5
Maximum64540634
Range64540634
Interquartile range (IQR)172

Descriptive statistics

Standard deviation197162.7084
Coefficient of variation (CV)86.57664424
Kurtosis101203.1631
Mean2277.319826
Median Absolute Deviation (MAD)45
Skewness310.3463929
Sum258466691
Variance3.887313359 × 1010
MonotonicityNot monotonic
2024-10-21T22:53:36.987259image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 3089
 
2.7%
7 2986
 
2.6%
6 2980
 
2.6%
8 2732
 
2.4%
4 2596
 
2.3%
9 2454
 
2.2%
10 2133
 
1.9%
11 1988
 
1.8%
3 1922
 
1.7%
12 1792
 
1.6%
Other values (5801) 88824
78.3%
ValueCountFrequency (%)
0 214
 
0.2%
1 521
 
0.5%
2 1148
1.0%
3 1922
1.7%
4 2596
2.3%
ValueCountFrequency (%)
64540634 1
< 0.1%
8741123 1
< 0.1%
4805017 1
< 0.1%
4249696 1
< 0.1%
4190805 1
< 0.1%

Población masculina
Real number (ℝ)

Skewed 

Distinct5677
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2170.615044
Minimum0
Maximum61473390
Zeros7
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:37.396128image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q114
median52
Q3183
95-th percentile1453.25
Maximum61473390
Range61473390
Interquartile range (IQR)169

Descriptive statistics

Standard deviation187731.7694
Coefficient of variation (CV)86.48782284
Kurtosis101332.8526
Mean2170.615044
Median Absolute Deviation (MAD)44
Skewness310.6116659
Sum246356125
Variance3.524321723 × 1010
MonotonicityNot monotonic
2024-10-21T22:53:37.681851image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 3146
 
2.8%
7 3113
 
2.7%
5 3092
 
2.7%
8 2771
 
2.4%
9 2526
 
2.2%
4 2500
 
2.2%
10 2285
 
2.0%
11 2055
 
1.8%
12 1989
 
1.8%
13 1787
 
1.6%
Other values (5667) 88232
77.7%
ValueCountFrequency (%)
0 7
 
< 0.1%
1 73
 
0.1%
2 429
 
0.4%
3 1656
1.5%
4 2500
2.2%
ValueCountFrequency (%)
61473390 1
< 0.1%
8251295 1
< 0.1%
4404927 1
< 0.1%
4098455 1
< 0.1%
3871774 1
< 0.1%

Población de 0 a 2 años
Real number (ℝ)

Skewed  Zeros 

Distinct2220
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203.4481656
Minimum0
Maximum5764054
Zeros16179
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:37.928919image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q321
95-th percentile157
Maximum5764054
Range5764054
Interquartile range (IQR)20

Descriptive statistics

Standard deviation17571.985
Coefficient of variation (CV)86.37082054
Kurtosis102034.12
Mean203.4481656
Median Absolute Deviation (MAD)6
Skewness312.084011
Sum23090553
Variance308774656.7
MonotonicityNot monotonic
2024-10-21T22:53:38.156075image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16179
 
14.3%
1 13536
 
11.9%
2 9597
 
8.5%
3 6821
 
6.0%
4 5317
 
4.7%
5 4314
 
3.8%
6 3682
 
3.2%
7 3211
 
2.8%
8 2690
 
2.4%
9 2528
 
2.2%
Other values (2210) 45621
40.2%
ValueCountFrequency (%)
0 16179
14.3%
1 13536
11.9%
2 9597
8.5%
3 6821
6.0%
4 5317
 
4.7%
ValueCountFrequency (%)
5764054 1
< 0.1%
724133 1
< 0.1%
384145 1
< 0.1%
342746 1
< 0.1%
339025 1
< 0.1%

Población femenina de 0 a 2 años
Real number (ℝ)

Skewed  Zeros 

Distinct1640
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.554883
Minimum0
Maximum2848875
Zeros26998
Zeros (%)23.8%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:38.345882image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q310
95-th percentile78
Maximum2848875
Range2848875
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8684.935955
Coefficient of variation (CV)86.37010652
Kurtosis102033.7041
Mean100.554883
Median Absolute Deviation (MAD)3
Skewness312.0836351
Sum11412577
Variance75428112.55
MonotonicityNot monotonic
2024-10-21T22:53:38.536678image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26998
23.8%
1 16790
14.8%
2 10438
 
9.2%
3 7055
 
6.2%
4 5571
 
4.9%
5 4605
 
4.1%
6 3678
 
3.2%
7 3077
 
2.7%
8 2623
 
2.3%
9 2337
 
2.1%
Other values (1630) 30324
26.7%
ValueCountFrequency (%)
0 26998
23.8%
1 16790
14.8%
2 10438
 
9.2%
3 7055
 
6.2%
4 5571
 
4.9%
ValueCountFrequency (%)
2848875 1
< 0.1%
357766 1
< 0.1%
190072 1
< 0.1%
169702 1
< 0.1%
167898 1
< 0.1%

Población masculina de 0 a 2 años
Real number (ℝ)

Skewed  Zeros 

Distinct1671
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.8932826
Minimum0
Maximum2915179
Zeros26685
Zeros (%)23.5%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:38.727308image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q311
95-th percentile79
Maximum2915179
Range2915179
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8887.055755
Coefficient of variation (CV)86.37158357
Kurtosis102034.2189
Mean102.8932826
Median Absolute Deviation (MAD)3
Skewness312.0836972
Sum11677976
Variance78979760
MonotonicityNot monotonic
2024-10-21T22:53:38.918084image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26685
23.5%
1 16721
14.7%
2 10493
 
9.2%
3 7208
 
6.4%
4 5544
 
4.9%
5 4407
 
3.9%
6 3625
 
3.2%
7 3106
 
2.7%
8 2735
 
2.4%
9 2321
 
2.0%
Other values (1661) 30651
27.0%
ValueCountFrequency (%)
0 26685
23.5%
1 16721
14.7%
2 10493
 
9.2%
3 7208
 
6.4%
4 5544
 
4.9%
ValueCountFrequency (%)
2915179 1
< 0.1%
366367 1
< 0.1%
194073 1
< 0.1%
173044 1
< 0.1%
171127 1
< 0.1%

Población de 3 años y más
Real number (ℝ)

Skewed 

Distinct7454
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4234.985823
Minimum0
Maximum119976584
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:39.122678image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q126
median98
Q3348
95-th percentile2806.25
Maximum119976584
Range119976584
Interquartile range (IQR)322

Descriptive statistics

Standard deviation366505.892
Coefficient of variation (CV)86.54241296
Kurtosis101209.7295
Mean4234.985823
Median Absolute Deviation (MAD)84
Skewness310.3589445
Sum480653951
Variance1.343265689 × 1011
MonotonicityNot monotonic
2024-10-21T22:53:39.325841image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 1882
 
1.7%
11 1845
 
1.6%
12 1795
 
1.6%
9 1675
 
1.5%
13 1624
 
1.4%
15 1590
 
1.4%
14 1547
 
1.4%
16 1484
 
1.3%
8 1474
 
1.3%
17 1337
 
1.2%
Other values (7444) 97243
85.7%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 1
 
< 0.1%
2 1
 
< 0.1%
3 139
 
0.1%
4 362
0.3%
ValueCountFrequency (%)
119976584 1
< 0.1%
16260058 1
< 0.1%
8933167 1
< 0.1%
7912955 1
< 0.1%
7716363 1
< 0.1%

Población femenina de 3 años y más
Real number (ℝ)

Skewed 

Distinct5681
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2171.996775
Minimum0
Maximum61554567
Zeros215
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:39.517665image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q113
median49
Q3176
95-th percentile1429.25
Maximum61554567
Range61554567
Interquartile range (IQR)163

Descriptive statistics

Standard deviation188069.4362
Coefficient of variation (CV)86.58826677
Kurtosis101142.1785
Mean2171.996775
Median Absolute Deviation (MAD)42
Skewness310.2206723
Sum246512946
Variance3.537011283 × 1010
MonotonicityNot monotonic
2024-10-21T22:53:39.706926image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 3380
 
3.0%
6 3144
 
2.8%
7 3030
 
2.7%
4 2867
 
2.5%
8 2786
 
2.5%
9 2480
 
2.2%
3 2213
 
1.9%
10 2121
 
1.9%
11 2014
 
1.8%
12 1817
 
1.6%
Other values (5671) 87644
77.2%
ValueCountFrequency (%)
0 215
 
0.2%
1 559
 
0.5%
2 1248
1.1%
3 2213
1.9%
4 2867
2.5%
ValueCountFrequency (%)
61554567 1
< 0.1%
8379157 1
< 0.1%
4668454 1
< 0.1%
4034076 1
< 0.1%
4019340 1
< 0.1%

Población masculina de 3 años y más
Real number (ℝ)

Skewed 

Distinct5588
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2062.989048
Minimum0
Maximum58422017
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:39.882301image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q113
median49
Q3172
95-th percentile1372
Maximum58422017
Range58422017
Interquartile range (IQR)159

Descriptive statistics

Standard deviation178438.5149
Coefficient of variation (CV)86.49513435
Kurtosis101276.3274
Mean2062.989048
Median Absolute Deviation (MAD)42
Skewness310.4949099
Sum234141005
Variance3.184030359 × 1010
MonotonicityNot monotonic
2024-10-21T22:53:40.086984image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 3374
 
3.0%
5 3355
 
3.0%
7 3172
 
2.8%
8 2852
 
2.5%
4 2850
 
2.5%
9 2487
 
2.2%
10 2340
 
2.1%
11 2098
 
1.8%
12 1972
 
1.7%
3 1931
 
1.7%
Other values (5578) 87065
76.7%
ValueCountFrequency (%)
0 10
 
< 0.1%
1 80
 
0.1%
2 491
 
0.4%
3 1931
1.7%
4 2850
2.5%
ValueCountFrequency (%)
58422017 1
< 0.1%
7880901 1
< 0.1%
4264713 1
< 0.1%
3878879 1
< 0.1%
3697023 1
< 0.1%

Población de 5 años y más
Real number (ℝ)

Skewed 

Distinct7350
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4083.815394
Minimum0
Maximum115693273
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:40.280185image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q125
median94
Q3333
95-th percentile2692.25
Maximum115693273
Range115693273
Interquartile range (IQR)308

Descriptive statistics

Standard deviation353450.683
Coefficient of variation (CV)86.54913331
Kurtosis101176.324
Mean4083.815394
Median Absolute Deviation (MAD)80
Skewness310.2890059
Sum463496712
Variance1.249273853 × 1011
MonotonicityNot monotonic
2024-10-21T22:53:40.471189image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 1997
 
1.8%
11 1902
 
1.7%
9 1822
 
1.6%
12 1812
 
1.6%
13 1700
 
1.5%
8 1657
 
1.5%
15 1618
 
1.4%
14 1571
 
1.4%
16 1436
 
1.3%
17 1332
 
1.2%
Other values (7340) 96649
85.2%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 1
 
< 0.1%
2 2
 
< 0.1%
3 139
 
0.1%
4 381
0.3%
ValueCountFrequency (%)
115693273 1
< 0.1%
15707805 1
< 0.1%
8720414 1
< 0.1%
7626117 1
< 0.1%
7458856 1
< 0.1%

Población femenina de 5 años y más
Real number (ℝ)

Skewed 

Distinct5604
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2097.141653
Minimum0
Maximum59433559
Zeros215
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:40.654299image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q112
median47
Q3168
95-th percentile1378.25
Maximum59433559
Range59433559
Interquartile range (IQR)156

Descriptive statistics

Standard deviation181604.9627
Coefficient of variation (CV)86.59642159
Kurtosis101107.16
Mean2097.141653
Median Absolute Deviation (MAD)41
Skewness310.1474735
Sum238017189
Variance3.298036247 × 1010
MonotonicityNot monotonic
2024-10-21T22:53:40.841262image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 3506
 
3.1%
6 3253
 
2.9%
7 3144
 
2.8%
4 3131
 
2.8%
8 2804
 
2.5%
9 2444
 
2.2%
3 2441
 
2.2%
10 2127
 
1.9%
11 2043
 
1.8%
12 1715
 
1.5%
Other values (5594) 86888
76.6%
ValueCountFrequency (%)
0 215
 
0.2%
1 576
 
0.5%
2 1360
1.2%
3 2441
2.2%
4 3131
2.8%
ValueCountFrequency (%)
59433559 1
< 0.1%
8105314 1
< 0.1%
4563147 1
< 0.1%
3892287 1
< 0.1%
3891902 1
< 0.1%

Población masculina de 5 años y más
Real number (ℝ)

Skewed 

Distinct5490
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1986.673742
Minimum0
Maximum56259714
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:41.093095image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q113
median47
Q3165
95-th percentile1316
Maximum56259714
Range56259714
Interquartile range (IQR)152

Descriptive statistics

Standard deviation171847.8318
Coefficient of variation (CV)86.50027841
Kurtosis101244.5187
Mean1986.673742
Median Absolute Deviation (MAD)40
Skewness310.4281691
Sum225479523
Variance2.953167729 × 1010
MonotonicityNot monotonic
2024-10-21T22:53:41.413175image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 3552
 
3.1%
6 3441
 
3.0%
7 3235
 
2.9%
4 3143
 
2.8%
8 2844
 
2.5%
9 2572
 
2.3%
10 2329
 
2.1%
3 2174
 
1.9%
11 2074
 
1.8%
12 1990
 
1.8%
Other values (5480) 86142
75.9%
ValueCountFrequency (%)
0 10
 
< 0.1%
1 95
 
0.1%
2 537
 
0.5%
3 2174
1.9%
4 3143
2.8%
ValueCountFrequency (%)
56259714 1
< 0.1%
7602491 1
< 0.1%
4157267 1
< 0.1%
3733830 1
< 0.1%
3566954 1
< 0.1%

Población de 12 años y más
Real number (ℝ)

Skewed 

Distinct6889
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3548.64078
Minimum0
Maximum100528155
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:41.645435image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q121
median79
Q3280
95-th percentile2298
Maximum100528155
Range100528155
Interquartile range (IQR)259

Descriptive statistics

Standard deviation307224.6636
Coefficient of variation (CV)86.57530661
Kurtosis101040.3234
Mean3548.64078
Median Absolute Deviation (MAD)67
Skewness310.0032933
Sum402756534
Variance9.438699393 × 1010
MonotonicityNot monotonic
2024-10-21T22:53:41.982888image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 2348
 
2.1%
9 2299
 
2.0%
10 2294
 
2.0%
11 2065
 
1.8%
7 2042
 
1.8%
12 1976
 
1.7%
13 1724
 
1.5%
14 1633
 
1.4%
6 1609
 
1.4%
15 1608
 
1.4%
Other values (6879) 93898
82.7%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 1
 
< 0.1%
2 2
 
< 0.1%
3 153
 
0.1%
4 466
0.4%
ValueCountFrequency (%)
100528155 1
< 0.1%
13742847 1
< 0.1%
7915499 1
< 0.1%
6620690 1
< 0.1%
6509595 1
< 0.1%

Población femenina de 12 años y más
Real number (ℝ)

Skewed 

Distinct5251
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1833.485074
Minimum0
Maximum51962264
Zeros215
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:42.240421image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median39
Q3142
95-th percentile1178.25
Maximum51962264
Range51962264
Interquartile range (IQR)132

Descriptive statistics

Standard deviation158832.2453
Coefficient of variation (CV)86.62860011
Kurtosis100964.8747
Mean1833.485074
Median Absolute Deviation (MAD)34
Skewness309.8492305
Sum208093222
Variance2.522768215 × 1010
MonotonicityNot monotonic
2024-10-21T22:53:42.525585image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 4180
 
3.7%
5 4033
 
3.6%
6 3641
 
3.2%
3 3518
 
3.1%
7 3229
 
2.8%
8 2809
 
2.5%
9 2446
 
2.2%
10 2152
 
1.9%
11 1937
 
1.7%
12 1769
 
1.6%
Other values (5241) 83782
73.8%
ValueCountFrequency (%)
0 215
 
0.2%
1 654
 
0.6%
2 1734
1.5%
3 3518
3.1%
4 4180
3.7%
ValueCountFrequency (%)
51962264 1
< 0.1%
7137483 1
< 0.1%
4167530 1
< 0.1%
3424163 1
< 0.1%
3397067 1
< 0.1%

Población masculina de 12 años y más
Real number (ℝ)

Skewed 

Distinct5151
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1715.155706
Minimum0
Maximum48565891
Zeros16
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:42.873400image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q111
median39
Q3137
95-th percentile1113.25
Maximum48565891
Range48565891
Interquartile range (IQR)126

Descriptive statistics

Standard deviation148394.7312
Coefficient of variation (CV)86.51968486
Kurtosis101114.8736
Mean1715.155706
Median Absolute Deviation (MAD)33
Skewness310.154994
Sum194663312
Variance2.202099624 × 1010
MonotonicityNot monotonic
2024-10-21T22:53:43.075234image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 4242
 
3.7%
5 4207
 
3.7%
6 3893
 
3.4%
7 3307
 
2.9%
3 3275
 
2.9%
8 2912
 
2.6%
9 2607
 
2.3%
10 2299
 
2.0%
11 2107
 
1.9%
12 1947
 
1.7%
Other values (5141) 82700
72.9%
ValueCountFrequency (%)
0 16
 
< 0.1%
1 136
 
0.1%
2 855
 
0.8%
3 3275
2.9%
4 4242
3.7%
ValueCountFrequency (%)
48565891 1
< 0.1%
6605364 1
< 0.1%
3747969 1
< 0.1%
3223623 1
< 0.1%
3085432 1
< 0.1%

Población de 15 años y más
Real number (ℝ)

Skewed 

Distinct6656
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3317.734043
Minimum0
Maximum93985354
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:43.270974image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q120
median72
Q3257
95-th percentile2127.25
Maximum93985354
Range93985354
Interquartile range (IQR)237

Descriptive statistics

Standard deviation287268.8724
Coefficient of variation (CV)86.58586514
Kurtosis100984.9291
Mean3317.734043
Median Absolute Deviation (MAD)61
Skewness309.8853685
Sum376549543
Variance8.252340508 × 1010
MonotonicityNot monotonic
2024-10-21T22:53:43.463414image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 2566
 
2.3%
9 2502
 
2.2%
7 2467
 
2.2%
10 2331
 
2.1%
11 2184
 
1.9%
6 2068
 
1.8%
12 1967
 
1.7%
13 1774
 
1.6%
14 1685
 
1.5%
15 1586
 
1.4%
Other values (6646) 92366
81.4%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 1
 
< 0.1%
2 4
 
< 0.1%
3 161
 
0.1%
4 530
0.5%
ValueCountFrequency (%)
93985354 1
< 0.1%
12862124 1
< 0.1%
7547545 1
< 0.1%
6193111 1
< 0.1%
6098206 1
< 0.1%

Población femenina de 15 años y más
Real number (ℝ)

Skewed 

Distinct5127
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1719.533666
Minimum0
Maximum48732991
Zeros218
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:43.638477image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median36
Q3131
95-th percentile1095
Maximum48732991
Range48732991
Interquartile range (IQR)121

Descriptive statistics

Standard deviation148982.2171
Coefficient of variation (CV)86.64105854
Kurtosis100908.8416
Mean1719.533666
Median Absolute Deviation (MAD)31
Skewness309.7299965
Sum195160193
Variance2.2195701 × 1010
MonotonicityNot monotonic
2024-10-21T22:53:43.834741image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 4653
 
4.1%
5 4230
 
3.7%
3 4163
 
3.7%
6 3744
 
3.3%
7 3295
 
2.9%
8 2827
 
2.5%
9 2408
 
2.1%
10 2133
 
1.9%
11 1981
 
1.7%
2 1975
 
1.7%
Other values (5117) 82087
72.3%
ValueCountFrequency (%)
0 218
 
0.2%
1 696
 
0.6%
2 1975
1.7%
3 4163
3.7%
4 4653
4.1%
ValueCountFrequency (%)
48732991 1
< 0.1%
6699582 1
< 0.1%
3985698 1
< 0.1%
3221267 1
< 0.1%
3187212 1
< 0.1%

Población masculina de 15 años y más
Real number (ℝ)

Skewed 

Distinct4982
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1598.200377
Minimum0
Maximum45252363
Zeros21
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:44.076773image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q110
median36
Q3126
95-th percentile1028
Maximum45252363
Range45252363
Interquartile range (IQR)116

Descriptive statistics

Standard deviation138289.0631
Coefficient of variation (CV)86.52798805
Kurtosis101059.9656
Mean1598.200377
Median Absolute Deviation (MAD)31
Skewness310.0379895
Sum181389350
Variance1.912386498 × 1010
MonotonicityNot monotonic
2024-10-21T22:53:44.357116image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 4798
 
4.2%
5 4483
 
3.9%
6 4004
 
3.5%
3 3937
 
3.5%
7 3312
 
2.9%
8 3010
 
2.7%
9 2589
 
2.3%
10 2323
 
2.0%
11 2020
 
1.8%
12 1962
 
1.7%
Other values (4972) 81058
71.4%
ValueCountFrequency (%)
0 21
 
< 0.1%
1 153
 
0.1%
2 1056
 
0.9%
3 3937
3.5%
4 4798
4.2%
ValueCountFrequency (%)
45252363 1
< 0.1%
6162542 1
< 0.1%
3561847 1
< 0.1%
3005899 1
< 0.1%
2876939 1
< 0.1%

Población de 18 años y más
Real number (ℝ)

Skewed 

Distinct6451
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3088.60566
Minimum0
Maximum87492680
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:44.625068image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q118
median66
Q3236
95-th percentile1956.25
Maximum87492680
Range87492680
Interquartile range (IQR)218

Descriptive statistics

Standard deviation267456.2113
Coefficient of variation (CV)86.59448332
Kurtosis100936.3617
Mean3088.60566
Median Absolute Deviation (MAD)56
Skewness309.7812861
Sum350544388
Variance7.153282498 × 1010
MonotonicityNot monotonic
2024-10-21T22:53:46.250086image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 2795
 
2.5%
7 2779
 
2.4%
6 2664
 
2.3%
9 2620
 
2.3%
10 2415
 
2.1%
11 2171
 
1.9%
12 2025
 
1.8%
13 1802
 
1.6%
5 1686
 
1.5%
14 1616
 
1.4%
Other values (6441) 90923
80.1%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 1
 
< 0.1%
2 6
 
< 0.1%
3 169
 
0.1%
4 660
0.6%
ValueCountFrequency (%)
87492680 1
< 0.1%
11974932 1
< 0.1%
7166737 1
< 0.1%
5765955 1
< 0.1%
5680174 1
< 0.1%

Población femenina de 18 años y más
Real number (ℝ)

Skewed 

Distinct4982
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1606.540671
Minimum0
Maximum45530857
Zeros224
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:46.497588image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19
median33
Q3121
95-th percentile1013
Maximum45530857
Range45530857
Interquartile range (IQR)112

Descriptive statistics

Standard deviation139211.0036
Coefficient of variation (CV)86.65264823
Kurtosis100856.8548
Mean1606.540671
Median Absolute Deviation (MAD)28
Skewness309.6191595
Sum182335940
Variance1.937970353 × 1010
MonotonicityNot monotonic
2024-10-21T22:53:46.734577image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 5019
 
4.4%
3 4929
 
4.3%
5 4388
 
3.9%
6 3818
 
3.4%
7 3362
 
3.0%
8 2731
 
2.4%
9 2395
 
2.1%
2 2317
 
2.0%
10 2151
 
1.9%
11 1910
 
1.7%
Other values (4972) 80476
70.9%
ValueCountFrequency (%)
0 224
 
0.2%
1 775
 
0.7%
2 2317
2.0%
3 4929
4.3%
4 5019
4.4%
ValueCountFrequency (%)
45530857 1
< 0.1%
6261545 1
< 0.1%
3798760 1
< 0.1%
3015472 1
< 0.1%
2976352 1
< 0.1%

Población masculina de 18 años y más
Real number (ℝ)

Skewed 

Distinct4862
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1482.064989
Minimum0
Maximum41961823
Zeros22
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:46.963528image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19
median33
Q3115
95-th percentile946
Maximum41961823
Range41961823
Interquartile range (IQR)106

Descriptive statistics

Standard deviation128247.7399
Coefficient of variation (CV)86.53314183
Kurtosis101014.8037
Mean1482.064989
Median Absolute Deviation (MAD)28
Skewness309.9405329
Sum168208448
Variance1.644748279 × 1010
MonotonicityNot monotonic
2024-10-21T22:53:47.167092image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 5289
 
4.7%
3 4752
 
4.2%
5 4726
 
4.2%
6 4033
 
3.6%
7 3456
 
3.0%
8 2922
 
2.6%
9 2572
 
2.3%
10 2287
 
2.0%
11 2039
 
1.8%
12 1900
 
1.7%
Other values (4852) 79520
70.1%
ValueCountFrequency (%)
0 22
 
< 0.1%
1 201
 
0.2%
2 1316
 
1.2%
3 4752
4.2%
4 5289
4.7%
ValueCountFrequency (%)
41961823 1
< 0.1%
5713387 1
< 0.1%
3367977 1
< 0.1%
2789603 1
< 0.1%
2664702 1
< 0.1%

Población de 3 a 5 años
Real number (ℝ)

Skewed  Zeros 

Distinct2308
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean228.0648657
Minimum0
Maximum6462212
Zeros15215
Zeros (%)13.4%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:47.406418image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q322
95-th percentile172
Maximum6462212
Range6462212
Interquartile range (IQR)21

Descriptive statistics

Standard deviation19708.38848
Coefficient of variation (CV)86.41571517
Kurtosis101870.5382
Mean228.0648657
Median Absolute Deviation (MAD)6
Skewness311.7476934
Sum25884450
Variance388420576.3
MonotonicityNot monotonic
2024-10-21T22:53:47.631840image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15215
 
13.4%
1 13187
 
11.6%
2 9516
 
8.4%
3 6837
 
6.0%
4 5469
 
4.8%
5 4198
 
3.7%
6 3668
 
3.2%
7 3086
 
2.7%
8 2790
 
2.5%
9 2491
 
2.2%
Other values (2298) 47039
41.4%
ValueCountFrequency (%)
0 15215
13.4%
1 13187
11.6%
2 9516
8.4%
3 6837
6.0%
4 5469
 
4.8%
ValueCountFrequency (%)
6462212 1
< 0.1%
834611 1
< 0.1%
431927 1
< 0.1%
392761 1
< 0.1%
363406 1
< 0.1%

Población femenina de 3 a 5 años
Real number (ℝ)

Skewed  Zeros 

Distinct1705
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.705602
Minimum0
Maximum3193548
Zeros26050
Zeros (%)23.0%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:47.822617image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q311
95-th percentile85
Maximum3193548
Range3193548
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9739.895795
Coefficient of variation (CV)86.41891464
Kurtosis101860.488
Mean112.705602
Median Absolute Deviation (MAD)3
Skewness311.7283267
Sum12791635
Variance94865570.11
MonotonicityNot monotonic
2024-10-21T22:53:48.019197image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26050
23.0%
1 16434
14.5%
2 10346
 
9.1%
3 7237
 
6.4%
4 5449
 
4.8%
5 4471
 
3.9%
6 3785
 
3.3%
7 3179
 
2.8%
8 2673
 
2.4%
9 2295
 
2.0%
Other values (1695) 31577
27.8%
ValueCountFrequency (%)
0 26050
23.0%
1 16434
14.5%
2 10346
 
9.1%
3 7237
 
6.4%
4 5449
 
4.8%
ValueCountFrequency (%)
3193548 1
< 0.1%
413191 1
< 0.1%
213822 1
< 0.1%
194175 1
< 0.1%
180185 1
< 0.1%

Población masculina de 3 a 5 años
Real number (ℝ)

Skewed  Zeros 

Distinct1735
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.3592638
Minimum0
Maximum3268664
Zeros25408
Zeros (%)22.4%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:48.299130image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q311
95-th percentile87
Maximum3268664
Range3268664
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9968.498866
Coefficient of variation (CV)86.41264291
Kurtosis101880.1072
Mean115.3592638
Median Absolute Deviation (MAD)3
Skewness311.7660659
Sum13092815
Variance99370969.63
MonotonicityNot monotonic
2024-10-21T22:53:48.640970image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25408
22.4%
1 16492
14.5%
2 10488
 
9.2%
3 7086
 
6.2%
4 5647
 
5.0%
5 4409
 
3.9%
6 3771
 
3.3%
7 3037
 
2.7%
8 2658
 
2.3%
9 2328
 
2.1%
Other values (1725) 32172
28.3%
ValueCountFrequency (%)
0 25408
22.4%
1 16492
14.5%
2 10488
9.2%
3 7086
 
6.2%
4 5647
 
5.0%
ValueCountFrequency (%)
3268664 1
< 0.1%
421420 1
< 0.1%
218105 1
< 0.1%
198586 1
< 0.1%
183221 1
< 0.1%

Población de 6 a 11 años
Real number (ℝ)

Skewed  Zeros 

Distinct3132
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean458.2801773
Minimum0
Maximum12986217
Zeros8936
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:48.819182image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median12
Q346
95-th percentile344
Maximum12986217
Range12986217
Interquartile range (IQR)43

Descriptive statistics

Standard deviation39606.05755
Coefficient of variation (CV)86.42323958
Kurtosis101862.4647
Mean458.2801773
Median Absolute Deviation (MAD)11
Skewness311.7354749
Sum52012967
Variance1568639795
MonotonicityNot monotonic
2024-10-21T22:53:49.033502image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8936
 
7.9%
1 8151
 
7.2%
2 7522
 
6.6%
3 5997
 
5.3%
4 4978
 
4.4%
5 3974
 
3.5%
6 3280
 
2.9%
7 3021
 
2.7%
8 2594
 
2.3%
9 2324
 
2.0%
Other values (3122) 62719
55.3%
ValueCountFrequency (%)
0 8936
7.9%
1 8151
7.2%
2 7522
6.6%
3 5997
5.3%
4 4978
4.4%
ValueCountFrequency (%)
12986217 1
< 0.1%
1682600 1
< 0.1%
860338 1
< 0.1%
814007 1
< 0.1%
730599 1
< 0.1%

Población femenina de 6 a 11 años
Real number (ℝ)

Skewed  Zeros 

Distinct2337
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean225.8060989
Minimum0
Maximum6398755
Zeros16634
Zeros (%)14.7%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:49.253273image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q323
95-th percentile170
Maximum6398755
Range6398755
Interquartile range (IQR)22

Descriptive statistics

Standard deviation19515.04497
Coefficient of variation (CV)86.42390556
Kurtosis101866.9846
Mean225.8060989
Median Absolute Deviation (MAD)6
Skewness311.7452809
Sum25628089
Variance380836980
MonotonicityNot monotonic
2024-10-21T22:53:49.441320image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16634
 
14.7%
1 12527
 
11.0%
2 9100
 
8.0%
3 6594
 
5.8%
4 5342
 
4.7%
5 4350
 
3.8%
6 3532
 
3.1%
7 3138
 
2.8%
8 2830
 
2.5%
9 2417
 
2.1%
Other values (2327) 47032
41.4%
ValueCountFrequency (%)
0 16634
14.7%
1 12527
11.0%
2 9100
8.0%
3 6594
 
5.8%
4 5342
 
4.7%
ValueCountFrequency (%)
6398755 1
< 0.1%
828483 1
< 0.1%
423187 1
< 0.1%
401002 1
< 0.1%
362194 1
< 0.1%

Población masculina de 6 a 11 años
Real number (ℝ)

Skewed  Zeros 

Distinct2386
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean232.4740784
Minimum0
Maximum6587462
Zeros16024
Zeros (%)14.1%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:49.627095image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q323
95-th percentile174
Maximum6587462
Range6587462
Interquartile range (IQR)22

Descriptive statistics

Standard deviation20091.02453
Coefficient of variation (CV)86.42264406
Kurtosis101857.8335
Mean232.4740784
Median Absolute Deviation (MAD)6
Skewness311.7254281
Sum26384878
Variance403649266.7
MonotonicityNot monotonic
2024-10-21T22:53:49.800514image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16024
 
14.1%
1 12412
 
10.9%
2 9082
 
8.0%
3 6611
 
5.8%
4 5329
 
4.7%
5 4255
 
3.7%
6 3627
 
3.2%
7 3088
 
2.7%
8 2801
 
2.5%
9 2504
 
2.2%
Other values (2376) 47763
42.1%
ValueCountFrequency (%)
0 16024
14.1%
1 12412
10.9%
2 9082
8.0%
3 6611
5.8%
4 5329
 
4.7%
ValueCountFrequency (%)
6587462 1
< 0.1%
854117 1
< 0.1%
437151 1
< 0.1%
413005 1
< 0.1%
368405 1
< 0.1%

Población de 8 a 14 años
Real number (ℝ)

Skewed  Zeros 

Distinct3340
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean539.499348
Minimum0
Maximum15287375
Zeros7796
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:49.991140image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median15
Q353
95-th percentile400
Maximum15287375
Range15287375
Interquartile range (IQR)49

Descriptive statistics

Standard deviation46637.89352
Coefficient of variation (CV)86.44661703
Kurtosis101745.7921
Mean539.499348
Median Absolute Deviation (MAD)13
Skewness311.5022684
Sum61231018
Variance2175093112
MonotonicityNot monotonic
2024-10-21T22:53:50.183420image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7796
 
6.9%
1 7063
 
6.2%
2 6889
 
6.1%
3 5956
 
5.2%
4 4702
 
4.1%
5 4006
 
3.5%
6 3393
 
3.0%
7 2932
 
2.6%
8 2543
 
2.2%
9 2318
 
2.0%
Other values (3330) 65898
58.1%
ValueCountFrequency (%)
0 7796
6.9%
1 7063
6.2%
2 6889
6.1%
3 5956
5.2%
4 4702
4.1%
ValueCountFrequency (%)
15287375 1
< 0.1%
2024076 1
< 0.1%
1004575 1
< 0.1%
959509 1
< 0.1%
844963 1
< 0.1%

Población femenina de 8 a 14 años
Real number (ℝ)

Skewed  Zeros 

Distinct2505
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean265.7591721
Minimum0
Maximum7531118
Zeros14831
Zeros (%)13.1%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:50.375339image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q326
95-th percentile199
Maximum7531118
Range7531118
Interquartile range (IQR)24

Descriptive statistics

Standard deviation22976.2261
Coefficient of variation (CV)86.45506351
Kurtosis101733.7159
Mean265.7591721
Median Absolute Deviation (MAD)7
Skewness311.4794657
Sum30162603
Variance527906966
MonotonicityNot monotonic
2024-10-21T22:53:50.573680image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14831
 
13.1%
1 11615
 
10.2%
2 8913
 
7.9%
3 6441
 
5.7%
4 5204
 
4.6%
5 4239
 
3.7%
6 3560
 
3.1%
7 3133
 
2.8%
8 2742
 
2.4%
9 2411
 
2.1%
Other values (2495) 50407
44.4%
ValueCountFrequency (%)
0 14831
13.1%
1 11615
10.2%
2 8913
7.9%
3 6441
5.7%
4 5204
 
4.6%
ValueCountFrequency (%)
7531118 1
< 0.1%
999706 1
< 0.1%
493588 1
< 0.1%
472575 1
< 0.1%
417326 1
< 0.1%

Población masculina de 8 a 14 años
Real number (ℝ)

Skewed  Zeros 

Distinct2506
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean273.7401759
Minimum0
Maximum7756257
Zeros14048
Zeros (%)12.4%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:50.778438image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q327
95-th percentile201
Maximum7756257
Range7756257
Interquartile range (IQR)25

Descriptive statistics

Standard deviation23661.68202
Coefficient of variation (CV)86.43847015
Kurtosis101757.2713
Mean273.7401759
Median Absolute Deviation (MAD)7
Skewness311.5238847
Sum31068415
Variance559875196.1
MonotonicityNot monotonic
2024-10-21T22:53:51.023434image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14048
 
12.4%
1 11386
 
10.0%
2 9093
 
8.0%
3 6521
 
5.7%
4 5190
 
4.6%
5 4127
 
3.6%
6 3554
 
3.1%
7 3075
 
2.7%
8 2770
 
2.4%
9 2504
 
2.2%
Other values (2496) 51228
45.1%
ValueCountFrequency (%)
0 14048
12.4%
1 11386
10.0%
2 9093
8.0%
3 6521
5.7%
4 5190
 
4.6%
ValueCountFrequency (%)
7756257 1
< 0.1%
1024370 1
< 0.1%
510987 1
< 0.1%
486934 1
< 0.1%
427637 1
< 0.1%

Población de 12 a 14 años
Real number (ℝ)

Skewed  Zeros 

Distinct2364
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean230.9067368
Minimum0
Maximum6542801
Zeros15975
Zeros (%)14.1%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:51.282542image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q322
95-th percentile169.25
Maximum6542801
Range6542801
Interquartile range (IQR)21

Descriptive statistics

Standard deviation19965.49805
Coefficient of variation (CV)86.46563685
Kurtosis101644.404
Mean230.9067368
Median Absolute Deviation (MAD)6
Skewness311.2978922
Sum26206991
Variance398621112.4
MonotonicityNot monotonic
2024-10-21T22:53:51.589013image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15975
 
14.1%
1 12836
 
11.3%
2 9400
 
8.3%
3 6761
 
6.0%
4 5343
 
4.7%
5 4293
 
3.8%
6 3640
 
3.2%
7 3084
 
2.7%
8 2741
 
2.4%
9 2454
 
2.2%
Other values (2354) 46969
41.4%
ValueCountFrequency (%)
0 15975
14.1%
1 12836
11.3%
2 9400
8.3%
3 6761
6.0%
4 5343
 
4.7%
ValueCountFrequency (%)
6542801 1
< 0.1%
880723 1
< 0.1%
427579 1
< 0.1%
411389 1
< 0.1%
367954 1
< 0.1%

Población femenina de 12 a 14 años
Real number (ℝ)

Skewed  Zeros 

Distinct1701
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.951408
Minimum0
Maximum3229273
Zeros26789
Zeros (%)23.6%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:51.858832image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q311
95-th percentile84
Maximum3229273
Range3229273
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9855.110318
Coefficient of variation (CV)86.48520008
Kurtosis101607.6539
Mean113.951408
Median Absolute Deviation (MAD)3
Skewness311.226831
Sum12933029
Variance97123199.38
MonotonicityNot monotonic
2024-10-21T22:53:52.146743image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26789
23.6%
1 16165
14.2%
2 10261
 
9.0%
3 7243
 
6.4%
4 5373
 
4.7%
5 4543
 
4.0%
6 3567
 
3.1%
7 3066
 
2.7%
8 2693
 
2.4%
9 2284
 
2.0%
Other values (1691) 31512
27.8%
ValueCountFrequency (%)
0 26789
23.6%
1 16165
14.2%
2 10261
 
9.0%
3 7243
 
6.4%
4 5373
 
4.7%
ValueCountFrequency (%)
3229273 1
< 0.1%
437901 1
< 0.1%
209855 1
< 0.1%
202896 1
< 0.1%
181832 1
< 0.1%

Población masculina de 12 a 14 años
Real number (ℝ)

Skewed  Zeros 

Distinct1720
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.9553288
Minimum0
Maximum3313528
Zeros25821
Zeros (%)22.8%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:52.407764image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q312
95-th percentile86
Maximum3313528
Range3313528
Interquartile range (IQR)11

Descriptive statistics

Standard deviation10110.40706
Coefficient of variation (CV)86.44674138
Kurtosis101679.48
Mean116.9553288
Median Absolute Deviation (MAD)3
Skewness311.3656539
Sum13273962
Variance102220331
MonotonicityNot monotonic
2024-10-21T22:53:52.674327image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25821
22.8%
1 16145
14.2%
2 10332
 
9.1%
3 7246
 
6.4%
4 5503
 
4.8%
5 4426
 
3.9%
6 3681
 
3.2%
7 3157
 
2.8%
8 2654
 
2.3%
9 2274
 
2.0%
Other values (1710) 32257
28.4%
ValueCountFrequency (%)
0 25821
22.8%
1 16145
14.2%
2 10332
9.1%
3 7246
 
6.4%
4 5503
 
4.8%
ValueCountFrequency (%)
3313528 1
< 0.1%
442822 1
< 0.1%
217724 1
< 0.1%
208493 1
< 0.1%
186122 1
< 0.1%

Población de 15 a 17 años
Real number (ℝ)

Skewed  Zeros 

Distinct2315
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean229.1283834
Minimum0
Maximum6492674
Zeros16878
Zeros (%)14.9%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:53.024889image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q321
95-th percentile166
Maximum6492674
Range6492674
Interquartile range (IQR)20

Descriptive statistics

Standard deviation19821.28184
Coefficient of variation (CV)86.50731764
Kurtosis101467.4732
Mean229.1283834
Median Absolute Deviation (MAD)6
Skewness310.9310302
Sum26005155
Variance392883213.8
MonotonicityNot monotonic
2024-10-21T22:53:53.324632image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16878
 
14.9%
1 13046
 
11.5%
2 9447
 
8.3%
3 6724
 
5.9%
4 5274
 
4.6%
5 4325
 
3.8%
6 3647
 
3.2%
7 3264
 
2.9%
8 2824
 
2.5%
9 2490
 
2.2%
Other values (2305) 45577
40.2%
ValueCountFrequency (%)
0 16878
14.9%
1 13046
11.5%
2 9447
8.3%
3 6724
 
5.9%
4 5274
 
4.6%
ValueCountFrequency (%)
6492674 1
< 0.1%
887192 1
< 0.1%
427156 1
< 0.1%
418032 1
< 0.1%
380808 1
< 0.1%

Población femenina de 15 a 17 años
Real number (ℝ)

Skewed  Zeros 

Distinct1689
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.9929953
Minimum0
Maximum3202134
Zeros27727
Zeros (%)24.4%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:53.595781image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q311
95-th percentile82
Maximum3202134
Range3202134
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9775.836807
Coefficient of variation (CV)86.51719318
Kurtosis101461.748
Mean112.9929953
Median Absolute Deviation (MAD)3
Skewness310.9204473
Sum12824253
Variance95566985.28
MonotonicityNot monotonic
2024-10-21T22:53:53.839272image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27727
24.4%
1 16509
14.5%
2 10195
 
9.0%
3 7313
 
6.4%
4 5408
 
4.8%
5 4319
 
3.8%
6 3533
 
3.1%
7 3115
 
2.7%
8 2596
 
2.3%
9 2206
 
1.9%
Other values (1679) 30575
26.9%
ValueCountFrequency (%)
0 27727
24.4%
1 16509
14.5%
2 10195
 
9.0%
3 7313
 
6.4%
4 5408
 
4.8%
ValueCountFrequency (%)
3202134 1
< 0.1%
438037 1
< 0.1%
210860 1
< 0.1%
205795 1
< 0.1%
186938 1
< 0.1%

Población masculina de 15 a 17 años
Real number (ℝ)

Skewed  Zeros 

Distinct1693
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.135388
Minimum0
Maximum3290540
Zeros26689
Zeros (%)23.5%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:54.092127image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q311
95-th percentile84
Maximum3290540
Range3290540
Interquartile range (IQR)10

Descriptive statistics

Standard deviation10045.46021
Coefficient of variation (CV)86.49783996
Kurtosis101472.4343
Mean116.135388
Median Absolute Deviation (MAD)3
Skewness310.9400016
Sum13180902
Variance100911270.8
MonotonicityNot monotonic
2024-10-21T22:53:54.362854image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26689
23.5%
1 16458
14.5%
2 10254
 
9.0%
3 7301
 
6.4%
4 5543
 
4.9%
5 4443
 
3.9%
6 3643
 
3.2%
7 3120
 
2.7%
8 2643
 
2.3%
9 2267
 
2.0%
Other values (1683) 31135
27.4%
ValueCountFrequency (%)
0 26689
23.5%
1 16458
14.5%
2 10254
 
9.0%
3 7301
 
6.4%
4 5543
 
4.9%
ValueCountFrequency (%)
3290540 1
< 0.1%
449155 1
< 0.1%
216296 1
< 0.1%
212237 1
< 0.1%
193870 1
< 0.1%

Población de 18 a 24 años
Real number (ℝ)

Skewed  Zeros 

Distinct3159
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean520.1199954
Minimum0
Maximum14736111
Zeros9097
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:54.619870image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median11
Q341
95-th percentile341
Maximum14736111
Range14736111
Interquartile range (IQR)38

Descriptive statistics

Standard deviation45012.12759
Coefficient of variation (CV)86.54181341
Kurtosis101244.5353
Mean520.1199954
Median Absolute Deviation (MAD)10
Skewness310.4231501
Sum59031539
Variance2026091630
MonotonicityNot monotonic
2024-10-21T22:53:54.911900image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9097
 
8.0%
1 8695
 
7.7%
2 8052
 
7.1%
3 6363
 
5.6%
4 5237
 
4.6%
5 4242
 
3.7%
6 3524
 
3.1%
7 2946
 
2.6%
8 2686
 
2.4%
9 2430
 
2.1%
Other values (3149) 60224
53.1%
ValueCountFrequency (%)
0 9097
8.0%
1 8695
7.7%
2 8052
7.1%
3 6363
5.6%
4 5237
4.6%
ValueCountFrequency (%)
14736111 1
< 0.1%
2004632 1
< 0.1%
993462 1
< 0.1%
984186 1
< 0.1%
863910 1
< 0.1%

Población femenina de 18 a 24 años
Real number (ℝ)

Skewed  Zeros 

Distinct2386
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean261.0655177
Minimum0
Maximum7398617
Zeros16124
Zeros (%)14.2%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:55.189482image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q321
95-th percentile174
Maximum7398617
Range7398617
Interquartile range (IQR)20

Descriptive statistics

Standard deviation22596.17301
Coefficient of variation (CV)86.55364831
Kurtosis101301.8575
Mean261.0655177
Median Absolute Deviation (MAD)6
Skewness310.5432075
Sum29629892
Variance510587034.6
MonotonicityNot monotonic
2024-10-21T22:53:55.445936image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16124
 
14.2%
1 13895
 
12.2%
2 9743
 
8.6%
3 6984
 
6.2%
4 5341
 
4.7%
5 4316
 
3.8%
6 3651
 
3.2%
7 3223
 
2.8%
8 2794
 
2.5%
9 2372
 
2.1%
Other values (2376) 45053
39.7%
ValueCountFrequency (%)
0 16124
14.2%
1 13895
12.2%
2 9743
8.6%
3 6984
6.2%
4 5341
 
4.7%
ValueCountFrequency (%)
7398617 1
< 0.1%
1000798 1
< 0.1%
494980 1
< 0.1%
487898 1
< 0.1%
439635 1
< 0.1%

Población masculina de 18 a 24 años
Real number (ℝ)

Skewed  Zeros 

Distinct2323
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean259.0544777
Minimum0
Maximum7337494
Zeros16503
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:55.716512image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q320
95-th percentile168
Maximum7337494
Range7337494
Interquartile range (IQR)19

Descriptive statistics

Standard deviation22416.18291
Coefficient of variation (CV)86.530768
Kurtosis101182.6863
Mean259.0544777
Median Absolute Deviation (MAD)5
Skewness310.2934654
Sum29401647
Variance502485256.2
MonotonicityNot monotonic
2024-10-21T22:53:55.923837image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16503
 
14.5%
1 13623
 
12.0%
2 9774
 
8.6%
3 7145
 
6.3%
4 5300
 
4.7%
5 4493
 
4.0%
6 3740
 
3.3%
7 3285
 
2.9%
8 2789
 
2.5%
9 2528
 
2.2%
Other values (2313) 44316
39.0%
ValueCountFrequency (%)
0 16503
14.5%
1 13623
12.0%
2 9774
8.6%
3 7145
6.3%
4 5300
 
4.7%
ValueCountFrequency (%)
7337494 1
< 0.1%
1003834 1
< 0.1%
498482 1
< 0.1%
496288 1
< 0.1%
424275 1
< 0.1%

Población femenina de 15 a 49 años
Real number (ℝ)

Skewed  Zeros 

Distinct4465
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1195.583827
Minimum0
Maximum33885546
Zeros1566
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:56.133512image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median25
Q391
95-th percentile772.25
Maximum33885546
Range33885546
Interquartile range (IQR)85

Descriptive statistics

Standard deviation103551.7687
Coefficient of variation (CV)86.6118848
Kurtosis101065.1676
Mean1195.583827
Median Absolute Deviation (MAD)22
Skewness310.068389
Sum135693982
Variance1.07229688 × 1010
MonotonicityNot monotonic
2024-10-21T22:53:56.351937image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 5715
 
5.0%
2 5143
 
4.5%
4 4929
 
4.3%
5 4269
 
3.8%
6 3629
 
3.2%
1 3347
 
2.9%
7 3091
 
2.7%
8 2638
 
2.3%
9 2235
 
2.0%
10 2018
 
1.8%
Other values (4455) 76482
67.4%
ValueCountFrequency (%)
0 1566
 
1.4%
1 3347
2.9%
2 5143
4.5%
3 5715
5.0%
4 4929
4.3%
ValueCountFrequency (%)
33885546 1
< 0.1%
4700984 1
< 0.1%
2508606 1
< 0.1%
2223580 1
< 0.1%
2124437 1
< 0.1%

Población de 60 años y más
Real number (ℝ)

Skewed  Zeros 

Distinct3166
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean534.715382
Minimum0
Maximum15142976
Zeros5247
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:56.571423image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median13
Q345
95-th percentile347
Maximum15142976
Range15142976
Interquartile range (IQR)41

Descriptive statistics

Standard deviation46317.3346
Coefficient of variation (CV)86.62053899
Kurtosis100699.9008
Mean534.715382
Median Absolute Deviation (MAD)11
Skewness309.2451703
Sum60688057
Variance2145295484
MonotonicityNot monotonic
2024-10-21T22:53:56.783485image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 8704
 
7.7%
1 7094
 
6.3%
3 6622
 
5.8%
4 5787
 
5.1%
0 5247
 
4.6%
5 4591
 
4.0%
6 3750
 
3.3%
7 3227
 
2.8%
8 2880
 
2.5%
9 2463
 
2.2%
Other values (3156) 63131
55.6%
ValueCountFrequency (%)
0 5247
4.6%
1 7094
6.3%
2 8704
7.7%
3 6622
5.8%
4 5787
5.1%
ValueCountFrequency (%)
15142976 1
< 0.1%
1919454 1
< 0.1%
1491619 1
< 0.1%
1157892 1
< 0.1%
999085 1
< 0.1%

Población femenina de 60 años y más
Real number (ℝ)

Skewed  Zeros 

Distinct2422
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean287.2401759
Minimum0
Maximum8139094
Zeros11676
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:56.978369image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median6
Q323
95-th percentile179
Maximum8139094
Range8139094
Interquartile range (IQR)21

Descriptive statistics

Standard deviation24916.73303
Coefficient of variation (CV)86.74529234
Kurtosis100349.395
Mean287.2401759
Median Absolute Deviation (MAD)5
Skewness308.5099581
Sum32600611
Variance620843584.7
MonotonicityNot monotonic
2024-10-21T22:53:57.194325image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 15138
 
13.3%
0 11676
 
10.3%
2 10573
 
9.3%
3 7403
 
6.5%
4 5336
 
4.7%
5 4433
 
3.9%
6 3684
 
3.2%
7 3126
 
2.8%
8 2789
 
2.5%
9 2538
 
2.2%
Other values (2412) 46800
41.2%
ValueCountFrequency (%)
0 11676
10.3%
1 15138
13.3%
2 10573
9.3%
3 7403
6.5%
4 5336
 
4.7%
ValueCountFrequency (%)
8139094 1
< 0.1%
1043149 1
< 0.1%
853207 1
< 0.1%
619804 1
< 0.1%
539465 1
< 0.1%

Población masculina de 60 años y más
Real number (ℝ)

Skewed  Zeros 

Distinct2331
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean247.4752062
Minimum0
Maximum7003882
Zeros9401
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:57.400480image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median6
Q323
95-th percentile167
Maximum7003882
Range7003882
Interquartile range (IQR)21

Descriptive statistics

Standard deviation21402.28597
Coefficient of variation (CV)86.48254626
Kurtosis101077.9787
Mean247.4752062
Median Absolute Deviation (MAD)5
Skewness310.0401594
Sum28087446
Variance458057844.5
MonotonicityNot monotonic
2024-10-21T22:53:57.597210image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 14240
 
12.5%
2 10931
 
9.6%
0 9401
 
8.3%
3 7923
 
7.0%
4 5820
 
5.1%
5 4615
 
4.1%
6 3880
 
3.4%
7 3253
 
2.9%
8 2857
 
2.5%
9 2551
 
2.2%
Other values (2321) 48025
42.3%
ValueCountFrequency (%)
0 9401
8.3%
1 14240
12.5%
2 10931
9.6%
3 7923
7.0%
4 5820
5.1%
ValueCountFrequency (%)
7003882 1
< 0.1%
876305 1
< 0.1%
638412 1
< 0.1%
538088 1
< 0.1%
459620 1
< 0.1%

Relación hombres-mujeres
Real number (ℝ)

Skewed 

Distinct6212
Distinct (%)5.5%
Missing214
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean111.9605959
Minimum0
Maximum467800
Zeros7
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:57.794503image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile68.972
Q189.58
median99.72
Q3112.5
95-th percentile166.67
Maximum467800
Range467800
Interquartile range (IQR)22.92

Descriptive statistics

Standard deviation1392.628506
Coefficient of variation (CV)12.43855926
Kurtosis112289.7416
Mean111.9605959
Median Absolute Deviation (MAD)11.15
Skewness334.3959624
Sum12683120.22
Variance1939414.157
MonotonicityNot monotonic
2024-10-21T22:53:57.984288image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 6796
 
6.0%
150 1437
 
1.3%
133.33 1277
 
1.1%
200 1237
 
1.1%
125 1220
 
1.1%
120 1045
 
0.9%
66.67 1041
 
0.9%
75 1012
 
0.9%
80 982
 
0.9%
83.33 928
 
0.8%
Other values (6202) 96307
84.9%
ValueCountFrequency (%)
0 7
< 0.1%
3.61 1
 
< 0.1%
7.76 1
 
< 0.1%
10 1
 
< 0.1%
11.11 1
 
< 0.1%
ValueCountFrequency (%)
467800 1
< 0.1%
20672.73 1
< 0.1%
11462.5 1
< 0.1%
7618.18 1
< 0.1%
6450 1
< 0.1%

Población de 0 a 14 años
Real number (ℝ)

Skewed  Zeros 

Distinct4527
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1120.699945
Minimum0
Maximum31755284
Zeros3383
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:58.196559image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median31
Q3111
95-th percentile842
Maximum31755284
Range31755284
Interquartile range (IQR)103

Descriptive statistics

Standard deviation96849.5972
Coefficient of variation (CV)86.41884708
Kurtosis101859.9262
Mean1120.699945
Median Absolute Deviation (MAD)27
Skewness311.7310351
Sum127194961
Variance9379844479
MonotonicityNot monotonic
2024-10-21T22:53:58.393934image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 3956
 
3.5%
4 3844
 
3.4%
2 3726
 
3.3%
5 3519
 
3.1%
0 3383
 
3.0%
6 3195
 
2.8%
1 3036
 
2.7%
7 2828
 
2.5%
8 2505
 
2.2%
9 2218
 
2.0%
Other values (4517) 81286
71.6%
ValueCountFrequency (%)
0 3383
3.0%
1 3036
2.7%
2 3726
3.3%
3 3956
3.5%
4 3844
3.4%
ValueCountFrequency (%)
31755284 1
< 0.1%
4122067 1
< 0.1%
2103989 1
< 0.1%
1960903 1
< 0.1%
1780704 1
< 0.1%

Población de 15 a 64 años
Real number (ℝ)

Skewed 

Distinct6333
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2953.229911
Minimum0
Maximum83663440
Zeros63
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:58.590413image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q117
median62
Q3224
95-th percentile1870.5
Maximum83663440
Range83663440
Interquartile range (IQR)207

Descriptive statistics

Standard deviation255732.9383
Coefficient of variation (CV)86.5943208
Kurtosis100965.3003
Mean2953.229911
Median Absolute Deviation (MAD)53
Skewness309.8524608
Sum335179782
Variance6.539933575 × 1010
MonotonicityNot monotonic
2024-10-21T22:53:58.775145image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 2752
 
2.4%
7 2743
 
2.4%
6 2693
 
2.4%
9 2452
 
2.2%
10 2223
 
2.0%
11 2101
 
1.9%
5 2047
 
1.8%
12 1951
 
1.7%
13 1775
 
1.6%
14 1658
 
1.5%
Other values (6323) 91101
80.3%
ValueCountFrequency (%)
0 63
 
0.1%
1 130
 
0.1%
2 436
 
0.4%
3 857
0.8%
4 1503
1.3%
ValueCountFrequency (%)
83663440 1
< 0.1%
11603770 1
< 0.1%
6525440 1
< 0.1%
5507037 1
< 0.1%
5288164 1
< 0.1%

Población de 65 años y más
Real number (ℝ)

Skewed  Zeros 

Distinct2748
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean364.5041323
Minimum0
Maximum10321914
Zeros8992
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:58.967215image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median9
Q333
95-th percentile246
Maximum10321914
Range10321914
Interquartile range (IQR)30

Descriptive statistics

Standard deviation31561.14126
Coefficient of variation (CV)86.58651154
Kurtosis100826.6842
Mean364.5041323
Median Absolute Deviation (MAD)8
Skewness309.4972089
Sum41369761
Variance996105637.6
MonotonicityNot monotonic
2024-10-21T22:53:59.241559image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 9689
 
8.5%
2 9633
 
8.5%
0 8992
 
7.9%
3 7105
 
6.3%
4 5683
 
5.0%
5 4483
 
3.9%
6 3671
 
3.2%
7 3190
 
2.8%
8 2813
 
2.5%
9 2536
 
2.2%
Other values (2738) 55701
49.1%
ValueCountFrequency (%)
0 8992
7.9%
1 9689
8.5%
2 9633
8.5%
3 7105
6.3%
4 5683
5.0%
ValueCountFrequency (%)
10321914 1
< 0.1%
1258354 1
< 0.1%
1022105 1
< 0.1%
810042 1
< 0.1%
686074 1
< 0.1%

Población de 0 a 4 años
Real number (ℝ)

Skewed  Zeros 

Distinct2822
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean354.6185945
Minimum0
Maximum10047365
Zeros10186
Zeros (%)9.0%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:59.441066image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median10
Q336
95-th percentile268.25
Maximum10047365
Range10047365
Interquartile range (IQR)34

Descriptive statistics

Standard deviation30634.44448
Coefficient of variation (CV)86.38702243
Kurtosis101974.04
Mean354.6185945
Median Absolute Deviation (MAD)9
Skewness311.9603471
Sum40247792
Variance938469188.3
MonotonicityNot monotonic
2024-10-21T22:53:59.651323image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10186
 
9.0%
1 9793
 
8.6%
2 8418
 
7.4%
3 6567
 
5.8%
4 5106
 
4.5%
5 4220
 
3.7%
6 3524
 
3.1%
7 2989
 
2.6%
8 2638
 
2.3%
9 2422
 
2.1%
Other values (2812) 57633
50.8%
ValueCountFrequency (%)
0 10186
9.0%
1 9793
8.6%
2 8418
7.4%
3 6567
5.8%
4 5106
4.5%
ValueCountFrequency (%)
10047365 1
< 0.1%
1276386 1
< 0.1%
670983 1
< 0.1%
600253 1
< 0.1%
578779 1
< 0.1%

Población femenina de 0 a 4 años
Real number (ℝ)

Skewed  Zeros 

Distinct2083
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean175.4100056
Minimum0
Maximum4969883
Zeros18750
Zeros (%)16.5%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:53:59.848821image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q318
95-th percentile134
Maximum4969883
Range4969883
Interquartile range (IQR)17

Descriptive statistics

Standard deviation15153.2886
Coefficient of variation (CV)86.38782347
Kurtosis101971.3787
Mean175.4100056
Median Absolute Deviation (MAD)5
Skewness311.9555615
Sum19908334
Variance229622155.5
MonotonicityNot monotonic
2024-10-21T22:54:00.062427image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18750
16.5%
1 14205
 
12.5%
2 9815
 
8.6%
3 6890
 
6.1%
4 5254
 
4.6%
5 4437
 
3.9%
6 3717
 
3.3%
7 3258
 
2.9%
8 2860
 
2.5%
9 2490
 
2.2%
Other values (2073) 41820
36.8%
ValueCountFrequency (%)
0 18750
16.5%
1 14205
12.5%
2 9815
8.6%
3 6890
 
6.1%
4 5254
 
4.6%
ValueCountFrequency (%)
4969883 1
< 0.1%
631609 1
< 0.1%
331861 1
< 0.1%
297140 1
< 0.1%
286513 1
< 0.1%

Población masculina de 0 a 4 años
Real number (ℝ)

Skewed  Zeros 

Distinct2108
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean179.2085888
Minimum0
Maximum5077482
Zeros18419
Zeros (%)16.2%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:00.260020image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q318
95-th percentile135
Maximum5077482
Range5077482
Interquartile range (IQR)17

Descriptive statistics

Standard deviation15481.16272
Coefficient of variation (CV)86.38627655
Kurtosis101976.4652
Mean179.2085888
Median Absolute Deviation (MAD)5
Skewness311.9646325
Sum20339458
Variance239666399
MonotonicityNot monotonic
2024-10-21T22:54:00.461568image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18419
16.2%
1 14152
 
12.5%
2 9839
 
8.7%
3 6964
 
6.1%
4 5398
 
4.8%
5 4378
 
3.9%
6 3660
 
3.2%
7 3165
 
2.8%
8 2876
 
2.5%
9 2458
 
2.2%
Other values (2098) 42187
37.2%
ValueCountFrequency (%)
0 18419
16.2%
1 14152
12.5%
2 9839
8.7%
3 6964
 
6.1%
4 5398
 
4.8%
ValueCountFrequency (%)
5077482 1
< 0.1%
644777 1
< 0.1%
339122 1
< 0.1%
303113 1
< 0.1%
292266 1
< 0.1%

Población de 5 a 9 años
Real number (ℝ)

Skewed  Zeros 

Distinct2901
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean379.8761102
Minimum0
Maximum10764379
Zeros10392
Zeros (%)9.2%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:00.699109image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median10
Q338
95-th percentile287
Maximum10764379
Range10764379
Interquartile range (IQR)35

Descriptive statistics

Standard deviation32826.53899
Coefficient of variation (CV)86.41380206
Kurtosis101901.6721
Mean379.8761102
Median Absolute Deviation (MAD)9
Skewness311.8120766
Sum43114419
Variance1077581662
MonotonicityNot monotonic
2024-10-21T22:54:00.925504image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10392
 
9.2%
1 9514
 
8.4%
2 8092
 
7.1%
3 6336
 
5.6%
4 4953
 
4.4%
5 4057
 
3.6%
6 3476
 
3.1%
7 2937
 
2.6%
8 2736
 
2.4%
9 2397
 
2.1%
Other values (2891) 58606
51.6%
ValueCountFrequency (%)
0 10392
9.2%
1 9514
8.4%
2 8092
7.1%
3 6336
5.6%
4 4953
4.4%
ValueCountFrequency (%)
10764379 1
< 0.1%
1381132 1
< 0.1%
718100 1
< 0.1%
675182 1
< 0.1%
612792 1
< 0.1%

Población femenina de 5 a 9 años
Real number (ℝ)

Skewed  Zeros 

Distinct2152
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean187.4350109
Minimum0
Maximum5311288
Zeros18811
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:01.173570image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q319
95-th percentile142
Maximum5311288
Range5311288
Interquartile range (IQR)18

Descriptive statistics

Standard deviation16197.05849
Coefficient of variation (CV)86.41426386
Kurtosis101901.5363
Mean187.4350109
Median Absolute Deviation (MAD)5
Skewness311.8126836
Sum21273124
Variance262344703.7
MonotonicityNot monotonic
2024-10-21T22:54:01.406633image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18811
16.6%
1 13856
 
12.2%
2 9401
 
8.3%
3 6810
 
6.0%
4 5309
 
4.7%
5 4322
 
3.8%
6 3725
 
3.3%
7 3135
 
2.8%
8 2748
 
2.4%
9 2411
 
2.1%
Other values (2142) 42968
37.9%
ValueCountFrequency (%)
0 18811
16.6%
1 13856
12.2%
2 9401
8.3%
3 6810
 
6.0%
4 5309
 
4.7%
ValueCountFrequency (%)
5311288 1
< 0.1%
681559 1
< 0.1%
354189 1
< 0.1%
332847 1
< 0.1%
304034 1
< 0.1%

Población masculina de 5 a 9 años
Real number (ℝ)

Skewed  Zeros 

Distinct2179
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean192.4410992
Minimum0
Maximum5453091
Zeros18286
Zeros (%)16.1%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:01.611816image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q319
95-th percentile145
Maximum5453091
Range5453091
Interquartile range (IQR)18

Descriptive statistics

Standard deviation16629.49084
Coefficient of variation (CV)86.413406
Kurtosis101901.5519
Mean192.4410992
Median Absolute Deviation (MAD)5
Skewness311.8109337
Sum21841295
Variance276539965.6
MonotonicityNot monotonic
2024-10-21T22:54:01.831511image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18286
16.1%
1 13512
 
11.9%
2 9560
 
8.4%
3 6846
 
6.0%
4 5323
 
4.7%
5 4368
 
3.8%
6 3685
 
3.2%
7 3119
 
2.7%
8 2794
 
2.5%
9 2443
 
2.2%
Other values (2169) 43560
38.4%
ValueCountFrequency (%)
0 18286
16.1%
1 13512
11.9%
2 9560
8.4%
3 6846
 
6.0%
4 5323
 
4.7%
ValueCountFrequency (%)
5453091 1
< 0.1%
699573 1
< 0.1%
363911 1
< 0.1%
342335 1
< 0.1%
308758 1
< 0.1%

Población de 10 a 14 años
Real number (ℝ)

Skewed  Zeros 

Distinct2929
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean386.2052407
Minimum0
Maximum10943540
Zeros10512
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:02.074111image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median10
Q338
95-th percentile285
Maximum10943540
Range10943540
Interquartile range (IQR)35

Descriptive statistics

Standard deviation33390.76708
Coefficient of variation (CV)86.45860688
Kurtosis101688.4566
Mean386.2052407
Median Absolute Deviation (MAD)9
Skewness311.3877375
Sum43832750
Variance1114943326
MonotonicityNot monotonic
2024-10-21T22:54:02.324658image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10512
 
9.3%
1 9286
 
8.2%
2 8141
 
7.2%
3 6314
 
5.6%
4 5152
 
4.5%
5 4069
 
3.6%
6 3405
 
3.0%
7 3062
 
2.7%
8 2597
 
2.3%
9 2314
 
2.0%
Other values (2919) 58644
51.7%
ValueCountFrequency (%)
0 10512
9.3%
1 9286
8.2%
2 8141
7.2%
3 6314
5.6%
4 5152
4.5%
ValueCountFrequency (%)
10943540 1
< 0.1%
1464549 1
< 0.1%
714906 1
< 0.1%
685468 1
< 0.1%
608962 1
< 0.1%

Población femenina de 10 a 14 años
Real number (ℝ)

Skewed  Zeros 

Distinct2141
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean190.1729753
Minimum0
Maximum5389280
Zeros19106
Zeros (%)16.8%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:02.593350image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q319
95-th percentile141
Maximum5389280
Range5389280
Interquartile range (IQR)18

Descriptive statistics

Standard deviation16444.52653
Coefficient of variation (CV)86.47141637
Kurtosis101668.3265
Mean190.1729753
Median Absolute Deviation (MAD)5
Skewness311.3491056
Sum21583872
Variance270422452.6
MonotonicityNot monotonic
2024-10-21T22:54:02.806973image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19106
16.8%
1 13568
 
12.0%
2 9608
 
8.5%
3 6843
 
6.0%
4 5277
 
4.6%
5 4306
 
3.8%
6 3739
 
3.3%
7 3087
 
2.7%
8 2880
 
2.5%
9 2394
 
2.1%
Other values (2131) 42688
37.6%
ValueCountFrequency (%)
0 19106
16.8%
1 13568
12.0%
2 9608
8.5%
3 6843
 
6.0%
4 5277
 
4.6%
ValueCountFrequency (%)
5389280 1
< 0.1%
724173 1
< 0.1%
350886 1
< 0.1%
337788 1
< 0.1%
299822 1
< 0.1%

Población masculina de 10 a 14 años
Real number (ℝ)

Skewed  Zeros 

Distinct2168
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean196.0322655
Minimum0
Maximum5554260
Zeros18236
Zeros (%)16.1%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:03.002779image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q319
95-th percentile144
Maximum5554260
Range5554260
Interquartile range (IQR)18

Descriptive statistics

Standard deviation16946.25452
Coefficient of variation (CV)86.44625147
Kurtosis101707.6651
Mean196.0322655
Median Absolute Deviation (MAD)5
Skewness311.4245483
Sum22248878
Variance287175542.1
MonotonicityNot monotonic
2024-10-21T22:54:03.235738image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18236
16.1%
1 13484
 
11.9%
2 9525
 
8.4%
3 6870
 
6.1%
4 5296
 
4.7%
5 4342
 
3.8%
6 3696
 
3.3%
7 3166
 
2.8%
8 2833
 
2.5%
9 2512
 
2.2%
Other values (2158) 43536
38.4%
ValueCountFrequency (%)
0 18236
16.1%
1 13484
11.9%
2 9525
8.4%
3 6870
 
6.1%
4 5296
 
4.7%
ValueCountFrequency (%)
5554260 1
< 0.1%
740376 1
< 0.1%
364020 1
< 0.1%
347680 1
< 0.1%
309140 1
< 0.1%

Población de 15 a 19 años
Real number (ℝ)

Skewed  Zeros 

Distinct2853
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean381.3865423
Minimum0
Maximum10806690
Zeros11405
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:03.463804image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median9
Q334
95-th percentile269.25
Maximum10806690
Range10806690
Interquartile range (IQR)32

Descriptive statistics

Standard deviation32995.38973
Coefficient of variation (CV)86.51429999
Kurtosis101418.4868
Mean381.3865423
Median Absolute Deviation (MAD)8
Skewness310.8192791
Sum43285847
Variance1088695743
MonotonicityNot monotonic
2024-10-21T22:54:03.736579image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11405
 
10.0%
1 10054
 
8.9%
2 8337
 
7.3%
3 6457
 
5.7%
4 5055
 
4.5%
5 4223
 
3.7%
6 3415
 
3.0%
7 3097
 
2.7%
8 2796
 
2.5%
9 2395
 
2.1%
Other values (2843) 56262
49.6%
ValueCountFrequency (%)
0 11405
10.0%
1 10054
8.9%
2 8337
7.3%
3 6457
5.7%
4 5055
4.5%
ValueCountFrequency (%)
10806690 1
< 0.1%
1476665 1
< 0.1%
716259 1
< 0.1%
681548 1
< 0.1%
650389 1
< 0.1%

Población femenina de 15 a 19 años
Real number (ℝ)

Skewed  Zeros 

Distinct2112
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean188.5926112
Minimum0
Maximum5344540
Zeros20174
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:04.012587image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q317
95-th percentile133
Maximum5344540
Range5344540
Interquartile range (IQR)16

Descriptive statistics

Standard deviation16317.57549
Coefficient of variation (CV)86.52287798
Kurtosis101432.5353
Mean188.5926112
Median Absolute Deviation (MAD)5
Skewness310.8487395
Sum21404507
Variance266263269.8
MonotonicityNot monotonic
2024-10-21T22:54:04.216170image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20174
17.8%
1 14371
 
12.7%
2 9653
 
8.5%
3 7069
 
6.2%
4 5289
 
4.7%
5 4452
 
3.9%
6 3642
 
3.2%
7 3160
 
2.8%
8 2765
 
2.4%
9 2468
 
2.2%
Other values (2102) 40453
35.6%
ValueCountFrequency (%)
0 20174
17.8%
1 14371
12.7%
2 9653
8.5%
3 7069
 
6.2%
4 5289
 
4.7%
ValueCountFrequency (%)
5344540 1
< 0.1%
729134 1
< 0.1%
353463 1
< 0.1%
337395 1
< 0.1%
319280 1
< 0.1%

Población masculina de 15 a 19 años
Real number (ℝ)

Skewed  Zeros 

Distinct2129
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean192.7939311
Minimum0
Maximum5462150
Zeros19501
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:04.399026image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q317
95-th percentile135
Maximum5462150
Range5462150
Interquartile range (IQR)16

Descriptive statistics

Standard deviation16677.84933
Coefficient of variation (CV)86.50609094
Kurtosis101403.8944
Mean192.7939311
Median Absolute Deviation (MAD)5
Skewness310.7886337
Sum21881340
Variance278150658.4
MonotonicityNot monotonic
2024-10-21T22:54:04.575653image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19501
17.2%
1 14049
 
12.4%
2 9851
 
8.7%
3 6988
 
6.2%
4 5510
 
4.9%
5 4398
 
3.9%
6 3747
 
3.3%
7 3184
 
2.8%
8 2823
 
2.5%
9 2483
 
2.2%
Other values (2119) 40962
36.1%
ValueCountFrequency (%)
0 19501
17.2%
1 14049
12.4%
2 9851
8.7%
3 6988
 
6.2%
4 5510
 
4.9%
ValueCountFrequency (%)
5462150 1
< 0.1%
747531 1
< 0.1%
362796 1
< 0.1%
344153 1
< 0.1%
331109 1
< 0.1%

Población de 20 a 24 años
Real number (ℝ)

Skewed  Zeros 

Distinct2734
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean367.8618365
Minimum0
Maximum10422095
Zeros12964
Zeros (%)11.4%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:04.774747image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median8
Q328
95-th percentile238
Maximum10422095
Range10422095
Interquartile range (IQR)26

Descriptive statistics

Standard deviation31838.0457
Coefficient of variation (CV)86.54892283
Kurtosis101202.7488
Mean367.8618365
Median Absolute Deviation (MAD)7
Skewness310.3283404
Sum41750847
Variance1013661154
MonotonicityNot monotonic
2024-10-21T22:54:04.975592image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12964
 
11.4%
1 11221
 
9.9%
2 9122
 
8.0%
3 6876
 
6.1%
4 5336
 
4.7%
5 4146
 
3.7%
6 3696
 
3.3%
7 3116
 
2.7%
8 2718
 
2.4%
9 2493
 
2.2%
Other values (2724) 51808
45.6%
ValueCountFrequency (%)
0 12964
11.4%
1 11221
9.9%
2 9122
8.0%
3 6876
6.1%
4 5336
4.7%
ValueCountFrequency (%)
10422095 1
< 0.1%
1415159 1
< 0.1%
714605 1
< 0.1%
704359 1
< 0.1%
600394 1
< 0.1%

Población femenina de 20 a 24 años
Real number (ℝ)

Skewed  Zeros 

Distinct2034
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean185.4659019
Minimum0
Maximum5256211
Zeros21486
Zeros (%)18.9%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:05.153074image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q315
95-th percentile122
Maximum5256211
Range5256211
Interquartile range (IQR)14

Descriptive statistics

Standard deviation16054.42763
Coefficient of variation (CV)86.56269142
Kurtosis101266.591
Mean185.4659019
Median Absolute Deviation (MAD)4
Skewness310.4629593
Sum21049638
Variance257744646.7
MonotonicityNot monotonic
2024-10-21T22:54:05.387777image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21486
18.9%
1 15849
14.0%
2 10407
 
9.2%
3 7033
 
6.2%
4 5486
 
4.8%
5 4337
 
3.8%
6 3605
 
3.2%
7 3148
 
2.8%
8 2702
 
2.4%
9 2417
 
2.1%
Other values (2024) 37026
32.6%
ValueCountFrequency (%)
0 21486
18.9%
1 15849
14.0%
2 10407
9.2%
3 7033
 
6.2%
4 5486
 
4.8%
ValueCountFrequency (%)
5256211 1
< 0.1%
709701 1
< 0.1%
355556 1
< 0.1%
352377 1
< 0.1%
308035 1
< 0.1%

Población masculina de 20 a 24 años
Real number (ℝ)

Skewed  Zeros 

Distinct2006
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean182.3959347
Minimum0
Maximum5165884
Zeros22079
Zeros (%)19.5%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:05.655519image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q314
95-th percentile117
Maximum5165884
Range5165884
Interquartile range (IQR)13

Descriptive statistics

Standard deviation15783.83522
Coefficient of variation (CV)86.53611305
Kurtosis101132.315
Mean182.3959347
Median Absolute Deviation (MAD)4
Skewness310.179666
Sum20701209
Variance249129454.3
MonotonicityNot monotonic
2024-10-21T22:54:05.854874image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22079
19.5%
1 15622
13.8%
2 10474
 
9.2%
3 7391
 
6.5%
4 5442
 
4.8%
5 4502
 
4.0%
6 3797
 
3.3%
7 3262
 
2.9%
8 2693
 
2.4%
9 2359
 
2.1%
Other values (1996) 35875
31.6%
ValueCountFrequency (%)
0 22079
19.5%
1 15622
13.8%
2 10474
9.2%
3 7391
 
6.5%
4 5442
 
4.8%
ValueCountFrequency (%)
5165884 1
< 0.1%
705458 1
< 0.1%
359049 1
< 0.1%
351982 1
< 0.1%
292359 1
< 0.1%

Población de 25 a 29 años
Real number (ℝ)

Skewed  Zeros 

Distinct2680
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean352.7534715
Minimum0
Maximum9993001
Zeros13896
Zeros (%)12.2%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:06.044786image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q326
95-th percentile226
Maximum9993001
Range9993001
Interquartile range (IQR)24

Descriptive statistics

Standard deviation30537.67844
Coefficient of variation (CV)86.56946256
Kurtosis101065.9953
Mean352.7534715
Median Absolute Deviation (MAD)6
Skewness310.045775
Sum40036108
Variance932549804.8
MonotonicityNot monotonic
2024-10-21T22:54:06.222644image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13896
 
12.2%
1 11714
 
10.3%
2 9294
 
8.2%
3 6913
 
6.1%
4 5308
 
4.7%
5 4333
 
3.8%
6 3686
 
3.2%
7 3155
 
2.8%
8 2770
 
2.4%
9 2428
 
2.1%
Other values (2670) 49999
44.1%
ValueCountFrequency (%)
0 13896
12.2%
1 11714
10.3%
2 9294
8.2%
3 6913
6.1%
4 5308
 
4.7%
ValueCountFrequency (%)
9993001 1
< 0.1%
1367527 1
< 0.1%
752289 1
< 0.1%
668334 1
< 0.1%
580421 1
< 0.1%

Población femenina de 25 a 29 años
Real number (ℝ)

Skewed  Zeros 

Distinct1999
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean181.0555438
Minimum0
Maximum5131597
Zeros22070
Zeros (%)19.4%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:06.419250image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q314
95-th percentile118
Maximum5131597
Range5131597
Interquartile range (IQR)13

Descriptive statistics

Standard deviation15678.55465
Coefficient of variation (CV)86.59527525
Kurtosis101145.9838
Mean181.0555438
Median Absolute Deviation (MAD)4
Skewness310.2186796
Sum20549080
Variance245817076
MonotonicityNot monotonic
2024-10-21T22:54:06.642192image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22070
19.4%
1 16471
14.5%
2 10112
 
8.9%
3 7197
 
6.3%
4 5373
 
4.7%
5 4446
 
3.9%
6 3691
 
3.3%
7 3107
 
2.7%
8 2627
 
2.3%
9 2316
 
2.0%
Other values (1989) 36086
31.8%
ValueCountFrequency (%)
0 22070
19.4%
1 16471
14.5%
2 10112
8.9%
3 7197
 
6.3%
4 5373
 
4.7%
ValueCountFrequency (%)
5131597 1
< 0.1%
699594 1
< 0.1%
380208 1
< 0.1%
337264 1
< 0.1%
307737 1
< 0.1%

Población masculina de 25 a 29 años
Real number (ℝ)

Skewed  Zeros 

Distinct1939
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean171.6979277
Minimum0
Maximum4861404
Zeros23108
Zeros (%)20.4%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:06.836191image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q312
95-th percentile108
Maximum4861404
Range4861404
Interquartile range (IQR)11

Descriptive statistics

Standard deviation14859.57948
Coefficient of variation (CV)86.5448971
Kurtosis100969.3349
Mean171.6979277
Median Absolute Deviation (MAD)3
Skewness309.8371362
Sum19487028
Variance220807102.4
MonotonicityNot monotonic
2024-10-21T22:54:07.015754image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23108
20.4%
1 16769
14.8%
2 10789
 
9.5%
3 7416
 
6.5%
4 5534
 
4.9%
5 4409
 
3.9%
6 3799
 
3.3%
7 3053
 
2.7%
8 2614
 
2.3%
9 2312
 
2.0%
Other values (1929) 33693
29.7%
ValueCountFrequency (%)
0 23108
20.4%
1 16769
14.8%
2 10789
9.5%
3 7416
 
6.5%
4 5534
 
4.9%
ValueCountFrequency (%)
4861404 1
< 0.1%
667933 1
< 0.1%
372081 1
< 0.1%
331070 1
< 0.1%
272684 1
< 0.1%

Población de 30 a 34 años
Real number (ℝ)

Skewed  Zeros 

Distinct2621
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean332.5554557
Minimum0
Maximum9420827
Zeros14293
Zeros (%)12.6%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:07.282557image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median6
Q324
95-th percentile211
Maximum9420827
Range9420827
Interquartile range (IQR)22

Descriptive statistics

Standard deviation28789.02547
Coefficient of variation (CV)86.56909691
Kurtosis101068.0398
Mean332.5554557
Median Absolute Deviation (MAD)6
Skewness310.0560954
Sum37743714
Variance828807987.7
MonotonicityNot monotonic
2024-10-21T22:54:07.542253image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14293
 
12.6%
1 12262
 
10.8%
2 9876
 
8.7%
3 7017
 
6.2%
4 5433
 
4.8%
5 4278
 
3.8%
6 3642
 
3.2%
7 3112
 
2.7%
8 2738
 
2.4%
9 2457
 
2.2%
Other values (2611) 48388
42.6%
ValueCountFrequency (%)
0 14293
12.6%
1 12262
10.8%
2 9876
8.7%
3 7017
6.2%
4 5433
 
4.8%
ValueCountFrequency (%)
9420827 1
< 0.1%
1283264 1
< 0.1%
743611 1
< 0.1%
639006 1
< 0.1%
568121 1
< 0.1%

Población femenina de 30 a 34 años
Real number (ℝ)

Skewed  Zeros 

Distinct1982
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean172.6294583
Minimum0
Maximum4893101
Zeros22872
Zeros (%)20.2%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:07.781030image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q313
95-th percentile111
Maximum4893101
Range4893101
Interquartile range (IQR)12

Descriptive statistics

Standard deviation14951.52967
Coefficient of variation (CV)86.61053458
Kurtosis101102.2412
Mean172.6294583
Median Absolute Deviation (MAD)3
Skewness310.1367978
Sum19592753
Variance223548239.4
MonotonicityNot monotonic
2024-10-21T22:54:08.094487image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22872
20.2%
1 17073
15.0%
2 10525
 
9.3%
3 7213
 
6.4%
4 5366
 
4.7%
5 4372
 
3.9%
6 3552
 
3.1%
7 3092
 
2.7%
8 2614
 
2.3%
9 2334
 
2.1%
Other values (1972) 34483
30.4%
ValueCountFrequency (%)
0 22872
20.2%
1 17073
15.0%
2 10525
9.3%
3 7213
 
6.4%
4 5366
 
4.7%
ValueCountFrequency (%)
4893101 1
< 0.1%
668246 1
< 0.1%
380163 1
< 0.1%
326089 1
< 0.1%
304712 1
< 0.1%

Población masculina de 30 a 34 años
Real number (ℝ)

Skewed  Zeros 

Distinct1873
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean159.9259974
Minimum0
Maximum4527726
Zeros23768
Zeros (%)20.9%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:08.320228image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q312
95-th percentile99
Maximum4527726
Range4527726
Interquartile range (IQR)11

Descriptive statistics

Standard deviation13837.97839
Coefficient of variation (CV)86.52738525
Kurtosis101017.0862
Mean159.9259974
Median Absolute Deviation (MAD)3
Skewness309.9390357
Sum18150961
Variance191489645.8
MonotonicityNot monotonic
2024-10-21T22:54:08.541438image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23768
20.9%
1 17607
15.5%
2 10794
 
9.5%
3 7307
 
6.4%
4 5481
 
4.8%
5 4465
 
3.9%
6 3728
 
3.3%
7 3059
 
2.7%
8 2691
 
2.4%
9 2357
 
2.1%
Other values (1863) 32239
28.4%
ValueCountFrequency (%)
0 23768
20.9%
1 17607
15.5%
2 10794
9.5%
3 7307
 
6.4%
4 5481
 
4.8%
ValueCountFrequency (%)
4527726 1
< 0.1%
615018 1
< 0.1%
363448 1
< 0.1%
312917 1
< 0.1%
263409 1
< 0.1%

Población de 35 a 39 años
Real number (ℝ)

Skewed  Zeros 

Distinct2537
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean318.4063491
Minimum0
Maximum9020276
Zeros14747
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:08.782044image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median6
Q323
95-th percentile201
Maximum9020276
Range9020276
Interquartile range (IQR)21

Descriptive statistics

Standard deviation27572.84791
Coefficient of variation (CV)86.59641361
Kurtosis100955.631
Mean318.4063491
Median Absolute Deviation (MAD)6
Skewness309.835595
Sum36137847
Variance760261941.6
MonotonicityNot monotonic
2024-10-21T22:54:08.988039image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14747
 
13.0%
1 12713
 
11.2%
2 10029
 
8.8%
3 6937
 
6.1%
4 5475
 
4.8%
5 4341
 
3.8%
6 3676
 
3.2%
7 3175
 
2.8%
8 2739
 
2.4%
9 2460
 
2.2%
Other values (2527) 47204
41.6%
ValueCountFrequency (%)
0 14747
13.0%
1 12713
11.2%
2 10029
8.8%
3 6937
6.1%
4 5475
 
4.8%
ValueCountFrequency (%)
9020276 1
< 0.1%
1254296 1
< 0.1%
705850 1
< 0.1%
602903 1
< 0.1%
558791 1
< 0.1%

Población femenina de 35 a 39 años
Real number (ℝ)

Skewed  Zeros 

Distinct1915
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean165.423407
Minimum0
Maximum4688746
Zeros23785
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:09.187025image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q312
95-th percentile106
Maximum4688746
Range4688746
Interquartile range (IQR)11

Descriptive statistics

Standard deviation14333.49987
Coefficient of variation (CV)86.64735014
Kurtosis100925.6134
Mean165.423407
Median Absolute Deviation (MAD)3
Skewness309.7855087
Sum18774895
Variance205449218.4
MonotonicityNot monotonic
2024-10-21T22:54:09.374707image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23785
21.0%
1 17422
15.4%
2 10641
 
9.4%
3 7204
 
6.3%
4 5531
 
4.9%
5 4336
 
3.8%
6 3611
 
3.2%
7 2996
 
2.6%
8 2604
 
2.3%
9 2373
 
2.1%
Other values (1905) 32993
29.1%
ValueCountFrequency (%)
0 23785
21.0%
1 17422
15.4%
2 10641
9.4%
3 7204
 
6.3%
4 5531
 
4.9%
ValueCountFrequency (%)
4688746 1
< 0.1%
657610 1
< 0.1%
365305 1
< 0.1%
307567 1
< 0.1%
300186 1
< 0.1%

Población masculina de 35 a 39 años
Real number (ℝ)

Skewed  Zeros 

Distinct1848
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152.9829421
Minimum0
Maximum4331530
Zeros24094
Zeros (%)21.2%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:09.590994image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q311
95-th percentile96
Maximum4331530
Range4331530
Interquartile range (IQR)10

Descriptive statistics

Standard deviation13239.82252
Coefficient of variation (CV)86.54443648
Kurtosis100973.7714
Mean152.9829421
Median Absolute Deviation (MAD)3
Skewness309.8593038
Sum17362952
Variance175292900.3
MonotonicityNot monotonic
2024-10-21T22:54:09.880483image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24094
21.2%
1 18007
15.9%
2 10778
 
9.5%
3 7443
 
6.6%
4 5565
 
4.9%
5 4385
 
3.9%
6 3595
 
3.2%
7 3205
 
2.8%
8 2609
 
2.3%
9 2214
 
2.0%
Other values (1838) 31601
27.8%
ValueCountFrequency (%)
0 24094
21.2%
1 18007
15.9%
2 10778
9.5%
3 7443
 
6.6%
4 5565
 
4.9%
ValueCountFrequency (%)
4331530 1
< 0.1%
596686 1
< 0.1%
340545 1
< 0.1%
295336 1
< 0.1%
258605 1
< 0.1%

Población de 40 a 44 años
Real number (ℝ)

Skewed  Zeros 

Distinct2488
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean300.1745172
Minimum0
Maximum8503586
Zeros14988
Zeros (%)13.2%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:10.136504image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median6
Q322
95-th percentile190
Maximum8503586
Range8503586
Interquartile range (IQR)20

Descriptive statistics

Standard deviation25997.62013
Coefficient of variation (CV)86.60835161
Kurtosis100892.6583
Mean300.1745172
Median Absolute Deviation (MAD)6
Skewness309.7131599
Sum34068607
Variance675876252.2
MonotonicityNot monotonic
2024-10-21T22:54:10.376923image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14988
 
13.2%
1 13246
 
11.7%
2 10127
 
8.9%
3 7107
 
6.3%
4 5423
 
4.8%
5 4375
 
3.9%
6 3774
 
3.3%
7 3153
 
2.8%
8 2700
 
2.4%
9 2493
 
2.2%
Other values (2478) 46110
40.6%
ValueCountFrequency (%)
0 14988
13.2%
1 13246
11.7%
2 10127
8.9%
3 7107
6.3%
4 5423
 
4.8%
ValueCountFrequency (%)
8503586 1
< 0.1%
1197089 1
< 0.1%
670307 1
< 0.1%
549859 1
< 0.1%
537667 1
< 0.1%

Población femenina de 40 a 44 años
Real number (ℝ)

Skewed  Zeros 

Distinct1862
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean156.6967382
Minimum0
Maximum4441282
Zeros24771
Zeros (%)21.8%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:10.559579image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q311
95-th percentile98
Maximum4441282
Range4441282
Interquartile range (IQR)10

Descriptive statistics

Standard deviation13581.71007
Coefficient of variation (CV)86.67512944
Kurtosis100788.5679
Mean156.6967382
Median Absolute Deviation (MAD)3
Skewness309.5087423
Sum17784453
Variance184462848.4
MonotonicityNot monotonic
2024-10-21T22:54:10.774277image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24771
21.8%
1 17905
15.8%
2 10568
 
9.3%
3 7216
 
6.4%
4 5511
 
4.9%
5 4370
 
3.9%
6 3561
 
3.1%
7 3088
 
2.7%
8 2614
 
2.3%
9 2251
 
2.0%
Other values (1852) 31641
27.9%
ValueCountFrequency (%)
0 24771
21.8%
1 17905
15.8%
2 10568
9.3%
3 7216
 
6.4%
4 5511
 
4.9%
ValueCountFrequency (%)
4441282 1
< 0.1%
633375 1
< 0.1%
352995 1
< 0.1%
290379 1
< 0.1%
283549 1
< 0.1%

Población masculina de 40 a 44 años
Real number (ℝ)

Skewed  Zeros 

Distinct1797
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143.477779
Minimum0
Maximum4062304
Zeros24193
Zeros (%)21.3%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:10.985564image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q311
95-th percentile91
Maximum4062304
Range4062304
Interquartile range (IQR)10

Descriptive statistics

Standard deviation12416.32401
Coefficient of variation (CV)86.53830647
Kurtosis100993.3026
Mean143.477779
Median Absolute Deviation (MAD)3
Skewness309.908938
Sum16284154
Variance154165101.8
MonotonicityNot monotonic
2024-10-21T22:54:11.204532image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24193
21.3%
1 18397
16.2%
2 10974
 
9.7%
3 7364
 
6.5%
4 5523
 
4.9%
5 4507
 
4.0%
6 3662
 
3.2%
7 3131
 
2.8%
8 2618
 
2.3%
9 2176
 
1.9%
Other values (1787) 30951
27.3%
ValueCountFrequency (%)
0 24193
21.3%
1 18397
16.2%
2 10974
9.7%
3 7364
 
6.5%
4 5523
 
4.9%
ValueCountFrequency (%)
4062304 1
< 0.1%
563714 1
< 0.1%
317312 1
< 0.1%
266310 1
< 0.1%
247288 1
< 0.1%

Población de 45 a 49 años
Real number (ℝ)

Skewed  Zeros 

Distinct2387
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean280.3610436
Minimum0
Maximum7942413
Zeros15809
Zeros (%)13.9%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:11.421910image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q320
95-th percentile170
Maximum7942413
Range7942413
Interquartile range (IQR)19

Descriptive statistics

Standard deviation24303.57223
Coefficient of variation (CV)86.68669486
Kurtosis100539.6586
Mean280.3610436
Median Absolute Deviation (MAD)5
Skewness308.9835947
Sum31819857
Variance590663623.3
MonotonicityNot monotonic
2024-10-21T22:54:11.658905image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15809
 
13.9%
1 13677
 
12.1%
2 10323
 
9.1%
3 7475
 
6.6%
4 5457
 
4.8%
5 4463
 
3.9%
6 3740
 
3.3%
7 3234
 
2.8%
8 2796
 
2.5%
9 2504
 
2.2%
Other values (2377) 44018
38.8%
ValueCountFrequency (%)
0 15809
13.9%
1 13677
12.1%
2 10323
9.1%
3 7475
6.6%
4 5457
 
4.8%
ValueCountFrequency (%)
7942413 1
< 0.1%
1145882 1
< 0.1%
668945 1
< 0.1%
516152 1
< 0.1%
511537 1
< 0.1%

Población femenina de 45 a 49 años
Real number (ℝ)

Skewed  Zeros 

Distinct1782
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean145.7201663
Minimum0
Maximum4130069
Zeros26134
Zeros (%)23.0%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:11.883094image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q310
95-th percentile87
Maximum4130069
Range4130069
Interquartile range (IQR)9

Descriptive statistics

Standard deviation12642.32237
Coefficient of variation (CV)86.75753455
Kurtosis100401.8371
Mean145.7201663
Median Absolute Deviation (MAD)3
Skewness308.707631
Sum16538656
Variance159828314.8
MonotonicityNot monotonic
2024-10-21T22:54:12.060816image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26134
23.0%
1 18391
16.2%
2 10973
 
9.7%
3 7464
 
6.6%
4 5450
 
4.8%
5 4362
 
3.8%
6 3441
 
3.0%
7 2923
 
2.6%
8 2555
 
2.3%
9 2254
 
2.0%
Other values (1772) 29549
26.0%
ValueCountFrequency (%)
0 26134
23.0%
1 18391
16.2%
2 10973
9.7%
3 7464
 
6.6%
4 5450
 
4.8%
ValueCountFrequency (%)
4130069 1
< 0.1%
603324 1
< 0.1%
355099 1
< 0.1%
275993 1
< 0.1%
263271 1
< 0.1%

Población masculina de 45 a 49 años
Real number (ℝ)

Skewed  Zeros 

Distinct1723
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean134.6408772
Minimum0
Maximum3812344
Zeros25010
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:12.240058image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q310
95-th percentile82
Maximum3812344
Range3812344
Interquartile range (IQR)9

Descriptive statistics

Standard deviation11661.69075
Coefficient of variation (CV)86.61330045
Kurtosis100674.1844
Mean134.6408772
Median Absolute Deviation (MAD)3
Skewness309.2512724
Sum15281201
Variance135995031.2
MonotonicityNot monotonic
2024-10-21T22:54:12.483781image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25010
22.0%
1 18766
16.5%
2 11252
 
9.9%
3 7478
 
6.6%
4 5657
 
5.0%
5 4452
 
3.9%
6 3704
 
3.3%
7 2993
 
2.6%
8 2525
 
2.2%
9 2255
 
2.0%
Other values (1713) 29404
25.9%
ValueCountFrequency (%)
0 25010
22.0%
1 18766
16.5%
2 11252
9.9%
3 7478
 
6.6%
4 5657
 
5.0%
ValueCountFrequency (%)
3812344 1
< 0.1%
542558 1
< 0.1%
313846 1
< 0.1%
248266 1
< 0.1%
240159 1
< 0.1%

Población de 50 a 54 años
Real number (ℝ)

Skewed  Zeros 

Distinct2257
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean248.4266758
Minimum0
Maximum7037532
Zeros17117
Zeros (%)15.1%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:12.704821image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q318
95-th percentile148
Maximum7037532
Range7037532
Interquartile range (IQR)17

Descriptive statistics

Standard deviation21540.35379
Coefficient of variation (CV)86.7070886
Kurtosis100433.4109
Mean248.4266758
Median Absolute Deviation (MAD)5
Skewness308.7532618
Sum28195434
Variance463986841.5
MonotonicityNot monotonic
2024-10-21T22:54:12.937329image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17117
15.1%
1 14232
 
12.5%
2 10841
 
9.6%
3 7521
 
6.6%
4 5741
 
5.1%
5 4513
 
4.0%
6 3742
 
3.3%
7 3159
 
2.8%
8 2770
 
2.4%
9 2495
 
2.2%
Other values (2247) 41365
36.4%
ValueCountFrequency (%)
0 17117
15.1%
1 14232
12.5%
2 10841
9.6%
3 7521
6.6%
4 5741
 
5.1%
ValueCountFrequency (%)
7037532 1
< 0.1%
1007077 1
< 0.1%
623483 1
< 0.1%
488510 1
< 0.1%
444689 1
< 0.1%

Población femenina de 50 a 54 años
Real number (ℝ)

Skewed  Zeros 

Distinct1704
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130.742264
Minimum0
Maximum3705369
Zeros27966
Zeros (%)24.6%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:13.139781image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q39
95-th percentile77
Maximum3705369
Range3705369
Interquartile range (IQR)8

Descriptive statistics

Standard deviation11345.19405
Coefficient of variation (CV)86.77526073
Kurtosis100298.5229
Mean130.742264
Median Absolute Deviation (MAD)2
Skewness308.4762803
Sum14838724
Variance128713428.1
MonotonicityNot monotonic
2024-10-21T22:54:13.324880image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27966
24.6%
1 19045
16.8%
2 11039
 
9.7%
3 7402
 
6.5%
4 5502
 
4.8%
5 4365
 
3.8%
6 3480
 
3.1%
7 2873
 
2.5%
8 2460
 
2.2%
9 2122
 
1.9%
Other values (1694) 27242
24.0%
ValueCountFrequency (%)
0 27966
24.6%
1 19045
16.8%
2 11039
 
9.7%
3 7402
 
6.5%
4 5502
 
4.8%
ValueCountFrequency (%)
3705369 1
< 0.1%
533715 1
< 0.1%
337089 1
< 0.1%
260838 1
< 0.1%
234622 1
< 0.1%

Población masculina de 50 a 54 años
Real number (ℝ)

Skewed  Zeros 

Distinct1626
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.6844118
Minimum0
Maximum3332163
Zeros26792
Zeros (%)23.6%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:13.507376image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q39
95-th percentile72
Maximum3332163
Range3332163
Interquartile range (IQR)8

Descriptive statistics

Standard deviation10195.53515
Coefficient of variation (CV)86.63454233
Kurtosis100568.9852
Mean117.6844118
Median Absolute Deviation (MAD)2
Skewness309.0304076
Sum13356710
Variance103948937.1
MonotonicityNot monotonic
2024-10-21T22:54:13.727307image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26792
23.6%
1 19407
17.1%
2 11620
10.2%
3 7487
 
6.6%
4 5594
 
4.9%
5 4431
 
3.9%
6 3566
 
3.1%
7 3012
 
2.7%
8 2540
 
2.2%
9 2158
 
1.9%
Other values (1616) 26889
23.7%
ValueCountFrequency (%)
0 26792
23.6%
1 19407
17.1%
2 11620
10.2%
3 7487
 
6.6%
4 5594
 
4.9%
ValueCountFrequency (%)
3332163 1
< 0.1%
473362 1
< 0.1%
286394 1
< 0.1%
227672 1
< 0.1%
210067 1
< 0.1%

Población de 55 a 59 años
Real number (ℝ)

Skewed  Zeros 

Distinct2052
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201.0927698
Minimum0
Maximum5695958
Zeros19739
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:13.975049image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q315
95-th percentile121
Maximum5695958
Range5695958
Interquartile range (IQR)14

Descriptive statistics

Standard deviation17431.60709
Coefficient of variation (CV)86.68440494
Kurtosis100488.0291
Mean201.0927698
Median Absolute Deviation (MAD)4
Skewness308.8542905
Sum22823225
Variance303860925.6
MonotonicityNot monotonic
2024-10-21T22:54:14.182158image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19739
17.4%
1 15210
13.4%
2 10967
 
9.7%
3 7505
 
6.6%
4 5699
 
5.0%
5 4509
 
4.0%
6 3776
 
3.3%
7 3212
 
2.8%
8 2778
 
2.4%
9 2535
 
2.2%
Other values (2042) 37566
33.1%
ValueCountFrequency (%)
0 19739
17.4%
1 15210
13.4%
2 10967
9.7%
3 7505
 
6.6%
4 5699
 
5.0%
ValueCountFrequency (%)
5695958 1
< 0.1%
795711 1
< 0.1%
526447 1
< 0.1%
408710 1
< 0.1%
357080 1
< 0.1%

Población femenina de 55 a 59 años
Real number (ℝ)

Skewed  Zeros 

Distinct1547
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.9673997
Minimum0
Maximum3002982
Zeros31065
Zeros (%)27.4%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:14.456087image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q38
95-th percentile63
Maximum3002982
Range3002982
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9193.922814
Coefficient of variation (CV)86.76180446
Kurtosis100325.8236
Mean105.9673997
Median Absolute Deviation (MAD)2
Skewness308.5162883
Sum12026876
Variance84528216.72
MonotonicityNot monotonic
2024-10-21T22:54:14.694637image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31065
27.4%
1 19521
17.2%
2 11051
 
9.7%
3 7400
 
6.5%
4 5508
 
4.9%
5 4205
 
3.7%
6 3496
 
3.1%
7 2814
 
2.5%
8 2268
 
2.0%
9 1986
 
1.7%
Other values (1537) 24182
21.3%
ValueCountFrequency (%)
0 31065
27.4%
1 19521
17.2%
2 11051
 
9.7%
3 7400
 
6.5%
4 5508
 
4.9%
ValueCountFrequency (%)
3002982 1
< 0.1%
421734 1
< 0.1%
286796 1
< 0.1%
216188 1
< 0.1%
189545 1
< 0.1%

Población masculina de 55 a 59 años
Real number (ℝ)

Skewed  Zeros 

Distinct1486
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.12537006
Minimum0
Maximum2692976
Zeros30037
Zeros (%)26.5%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:14.952481image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile59
Maximum2692976
Range2692976
Interquartile range (IQR)7

Descriptive statistics

Standard deviation8237.964103
Coefficient of variation (CV)86.60112542
Kurtosis100655.7694
Mean95.12537006
Median Absolute Deviation (MAD)2
Skewness309.2033728
Sum10796349
Variance67864052.57
MonotonicityNot monotonic
2024-10-21T22:54:15.254078image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30037
26.5%
1 19972
17.6%
2 11568
 
10.2%
3 7507
 
6.6%
4 5654
 
5.0%
5 4438
 
3.9%
6 3500
 
3.1%
7 2851
 
2.5%
8 2317
 
2.0%
9 2002
 
1.8%
Other values (1476) 23650
20.8%
ValueCountFrequency (%)
0 30037
26.5%
1 19972
17.6%
2 11568
 
10.2%
3 7507
 
6.6%
4 5654
 
5.0%
ValueCountFrequency (%)
2692976 1
< 0.1%
373977 1
< 0.1%
239651 1
< 0.1%
192522 1
< 0.1%
167535 1
< 0.1%

Población de 60 a 64 años
Real number (ℝ)

Skewed  Zeros 

Distinct1906
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean170.2112497
Minimum0
Maximum4821062
Zeros22174
Zeros (%)19.5%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:15.476890image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q313
95-th percentile102
Maximum4821062
Range4821062
Interquartile range (IQR)12

Descriptive statistics

Standard deviation14758.75909
Coefficient of variation (CV)86.70848201
Kurtosis100361.0548
Mean170.2112497
Median Absolute Deviation (MAD)3
Skewness308.5697278
Sum19318296
Variance217820969.7
MonotonicityNot monotonic
2024-10-21T22:54:15.720040image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22174
19.5%
1 16068
14.2%
2 11003
 
9.7%
3 7517
 
6.6%
4 5826
 
5.1%
5 4519
 
4.0%
6 3829
 
3.4%
7 3114
 
2.7%
8 2738
 
2.4%
9 2409
 
2.1%
Other values (1896) 34299
30.2%
ValueCountFrequency (%)
0 22174
19.5%
1 16068
14.2%
2 11003
9.7%
3 7517
 
6.6%
4 5826
 
5.1%
ValueCountFrequency (%)
4821062 1
< 0.1%
661100 1
< 0.1%
469514 1
< 0.1%
347850 1
< 0.1%
313011 1
< 0.1%

Población femenina de 60 a 64 años
Real number (ℝ)

Skewed  Zeros 

Distinct1420
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.45068549
Minimum0
Maximum2563200
Zeros34249
Zeros (%)30.2%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:15.951654image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q36
95-th percentile53
Maximum2563200
Range2563200
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7851.657491
Coefficient of variation (CV)86.80594789
Kurtosis100113.0007
Mean90.45068549
Median Absolute Deviation (MAD)2
Skewness308.049878
Sum10265791
Variance61648525.36
MonotonicityNot monotonic
2024-10-21T22:54:16.170844image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34249
30.2%
1 20035
17.7%
2 10987
 
9.7%
3 7392
 
6.5%
4 5333
 
4.7%
5 4086
 
3.6%
6 3296
 
2.9%
7 2656
 
2.3%
8 2180
 
1.9%
9 1842
 
1.6%
Other values (1410) 21440
18.9%
ValueCountFrequency (%)
0 34249
30.2%
1 20035
17.7%
2 10987
 
9.7%
3 7392
 
6.5%
4 5333
 
4.7%
ValueCountFrequency (%)
2563200 1
< 0.1%
354099 1
< 0.1%
260449 1
< 0.1%
184851 1
< 0.1%
168020 1
< 0.1%

Población masculina de 60 a 64 años
Real number (ℝ)

Skewed  Zeros 

Distinct1364
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.76056425
Minimum0
Maximum2257862
Zeros32716
Zeros (%)28.8%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:16.395222image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q36
95-th percentile49
Maximum2257862
Range2257862
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6907.389207
Coefficient of variation (CV)86.60155895
Kurtosis100627.1196
Mean79.76056425
Median Absolute Deviation (MAD)2
Skewness309.127737
Sum9052505
Variance47712025.66
MonotonicityNot monotonic
2024-10-21T22:54:16.612559image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32716
28.8%
1 20448
18.0%
2 11502
 
10.1%
3 7703
 
6.8%
4 5589
 
4.9%
5 4163
 
3.7%
6 3338
 
2.9%
7 2753
 
2.4%
8 2316
 
2.0%
9 1927
 
1.7%
Other values (1354) 21041
18.5%
ValueCountFrequency (%)
0 32716
28.8%
1 20448
18.0%
2 11502
 
10.1%
3 7703
 
6.8%
4 5589
 
4.9%
ValueCountFrequency (%)
2257862 1
< 0.1%
307001 1
< 0.1%
209065 1
< 0.1%
162999 1
< 0.1%
144991 1
< 0.1%

Población de 65 a 69 años
Real number (ℝ)

Skewed  Zeros 

Distinct1714
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.7131969
Minimum0
Maximum3645077
Zeros25336
Zeros (%)22.3%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:16.812944image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q311
95-th percentile82
Maximum3645077
Range3645077
Interquartile range (IQR)10

Descriptive statistics

Standard deviation11152.59532
Coefficient of variation (CV)86.64686751
Kurtosis100575.746
Mean128.7131969
Median Absolute Deviation (MAD)3
Skewness308.9970857
Sum14608433
Variance124380382.4
MonotonicityNot monotonic
2024-10-21T22:54:17.054816image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25336
22.3%
1 16593
14.6%
2 11094
 
9.8%
3 7619
 
6.7%
4 5728
 
5.0%
5 4391
 
3.9%
6 3671
 
3.2%
7 3169
 
2.8%
8 2712
 
2.4%
9 2352
 
2.1%
Other values (1704) 30831
27.2%
ValueCountFrequency (%)
0 25336
22.3%
1 16593
14.6%
2 11094
9.8%
3 7619
 
6.7%
4 5728
 
5.0%
ValueCountFrequency (%)
3645077 1
< 0.1%
475398 1
< 0.1%
356196 1
< 0.1%
279233 1
< 0.1%
240553 1
< 0.1%

Población femenina de 65 a 69 años
Real number (ℝ)

Skewed  Zeros 

Distinct1278
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.40537993
Minimum0
Maximum1938227
Zeros37881
Zeros (%)33.4%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:17.362596image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile43
Maximum1938227
Range1938227
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5934.369397
Coefficient of variation (CV)86.75296305
Kurtosis100300.2818
Mean68.40537993
Median Absolute Deviation (MAD)1
Skewness308.4156625
Sum7763737
Variance35216740.14
MonotonicityNot monotonic
2024-10-21T22:54:17.630299image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37881
33.4%
1 20170
17.8%
2 11043
 
9.7%
3 7177
 
6.3%
4 5236
 
4.6%
5 3959
 
3.5%
6 3128
 
2.8%
7 2469
 
2.2%
8 2054
 
1.8%
9 1693
 
1.5%
Other values (1268) 18686
16.5%
ValueCountFrequency (%)
0 37881
33.4%
1 20170
17.8%
2 11043
 
9.7%
3 7177
 
6.3%
4 5236
 
4.6%
ValueCountFrequency (%)
1938227 1
< 0.1%
254157 1
< 0.1%
198951 1
< 0.1%
148502 1
< 0.1%
128970 1
< 0.1%

Población masculina de 65 a 69 años
Real number (ℝ)

Skewed  Zeros 

Distinct1215
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.30781702
Minimum0
Maximum1706850
Zeros36140
Zeros (%)31.8%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:17.846763image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile40
Maximum1706850
Range1706850
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5218.489448
Coefficient of variation (CV)86.53089609
Kurtosis100869.6928
Mean60.30781702
Median Absolute Deviation (MAD)1
Skewness309.618541
Sum6844696
Variance27232632.11
MonotonicityNot monotonic
2024-10-21T22:54:18.076246image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36140
31.8%
1 20768
18.3%
2 11500
 
10.1%
3 7526
 
6.6%
4 5382
 
4.7%
5 4053
 
3.6%
6 3196
 
2.8%
7 2582
 
2.3%
8 2084
 
1.8%
9 1738
 
1.5%
Other values (1205) 18527
16.3%
ValueCountFrequency (%)
0 36140
31.8%
1 20768
18.3%
2 11500
 
10.1%
3 7526
 
6.6%
4 5382
 
4.7%
ValueCountFrequency (%)
1706850 1
< 0.1%
221241 1
< 0.1%
157245 1
< 0.1%
130731 1
< 0.1%
111583 1
< 0.1%

Población de 70 a 74 años
Real number (ℝ)

Skewed  Zeros 

Distinct1486
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.48936526
Minimum0
Maximum2647340
Zeros30595
Zeros (%)27.0%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:18.326194image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q38
95-th percentile61
Maximum2647340
Range2647340
Interquartile range (IQR)8

Descriptive statistics

Standard deviation8099.515538
Coefficient of variation (CV)86.63568861
Kurtosis100591.4089
Mean93.48936526
Median Absolute Deviation (MAD)2
Skewness309.0049617
Sum10610669
Variance65602151.94
MonotonicityNot monotonic
2024-10-21T22:54:18.577427image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30595
27.0%
1 17669
15.6%
2 11169
 
9.8%
3 7586
 
6.7%
4 5512
 
4.9%
5 4299
 
3.8%
6 3619
 
3.2%
7 2987
 
2.6%
8 2531
 
2.2%
9 2159
 
1.9%
Other values (1476) 25370
22.4%
ValueCountFrequency (%)
0 30595
27.0%
1 17669
15.6%
2 11169
 
9.8%
3 7586
 
6.7%
4 5512
 
4.9%
ValueCountFrequency (%)
2647340 1
< 0.1%
330905 1
< 0.1%
267744 1
< 0.1%
203156 1
< 0.1%
181420 1
< 0.1%

Población femenina de 70 a 74 años
Real number (ℝ)

Skewed  Zeros 

Distinct1096
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.89864841
Minimum0
Maximum1413848
Zeros44080
Zeros (%)38.8%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:18.782099image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile31
Maximum1413848
Range1413848
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4329.710211
Coefficient of variation (CV)86.77008994
Kurtosis100219.3553
Mean49.89864841
Median Absolute Deviation (MAD)1
Skewness308.2243073
Sum5663297
Variance18746390.51
MonotonicityNot monotonic
2024-10-21T22:54:18.982258image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 44080
38.8%
1 20625
18.2%
2 10807
 
9.5%
3 6822
 
6.0%
4 4931
 
4.3%
5 3570
 
3.1%
6 2683
 
2.4%
7 2158
 
1.9%
8 1688
 
1.5%
9 1431
 
1.3%
Other values (1086) 14701
 
13.0%
ValueCountFrequency (%)
0 44080
38.8%
1 20625
18.2%
2 10807
 
9.5%
3 6822
 
6.0%
4 4931
 
4.3%
ValueCountFrequency (%)
1413848 1
< 0.1%
178657 1
< 0.1%
152614 1
< 0.1%
107721 1
< 0.1%
96956 1
< 0.1%

Población masculina de 70 a 74 años
Real number (ℝ)

Skewed  Zeros 

Distinct1049
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.59071685
Minimum0
Maximum1233492
Zeros41800
Zeros (%)36.8%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:19.221164image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile30
Maximum1233492
Range1233492
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3770.144423
Coefficient of variation (CV)86.48961741
Kurtosis100984.4258
Mean43.59071685
Median Absolute Deviation (MAD)1
Skewness309.8319312
Sum4947372
Variance14213988.97
MonotonicityNot monotonic
2024-10-21T22:54:19.454033image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 41800
36.8%
1 21044
18.5%
2 11316
 
10.0%
3 7142
 
6.3%
4 5096
 
4.5%
5 3816
 
3.4%
6 2927
 
2.6%
7 2272
 
2.0%
8 1807
 
1.6%
9 1486
 
1.3%
Other values (1039) 14790
 
13.0%
ValueCountFrequency (%)
0 41800
36.8%
1 21044
18.5%
2 11316
 
10.0%
3 7142
 
6.3%
4 5096
 
4.5%
ValueCountFrequency (%)
1233492 1
< 0.1%
152248 1
< 0.1%
115130 1
< 0.1%
95435 1
< 0.1%
84464 1
< 0.1%

Población de 75 a 79 años
Real number (ℝ)

Skewed  Zeros 

Distinct1279
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.08612638
Minimum0
Maximum1814582
Zeros36158
Zeros (%)31.9%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:19.675829image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q36
95-th percentile46
Maximum1814582
Range1814582
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5545.330954
Coefficient of variation (CV)86.52935147
Kurtosis101047.5736
Mean64.08612638
Median Absolute Deviation (MAD)2
Skewness309.9468592
Sum7273519
Variance30750695.39
MonotonicityNot monotonic
2024-10-21T22:54:19.925070image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36158
31.9%
1 18176
16.0%
2 11106
 
9.8%
3 7322
 
6.5%
4 5414
 
4.8%
5 4171
 
3.7%
6 3260
 
2.9%
7 2712
 
2.4%
8 2280
 
2.0%
9 1888
 
1.7%
Other values (1269) 21009
18.5%
ValueCountFrequency (%)
0 36158
31.9%
1 18176
16.0%
2 11106
 
9.8%
3 7322
 
6.5%
4 5414
 
4.8%
ValueCountFrequency (%)
1814582 1
< 0.1%
212562 1
< 0.1%
175215 1
< 0.1%
145737 1
< 0.1%
120885 1
< 0.1%

Población con discapacidad
Real number (ℝ)

Skewed  Zeros 

Distinct2235
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean218.1533094
Minimum0
Maximum6179890
Zeros19247
Zeros (%)17.0%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:20.159756image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q320
95-th percentile166.25
Maximum6179890
Range6179890
Interquartile range (IQR)19

Descriptive statistics

Standard deviation18856.21213
Coefficient of variation (CV)86.43559973
Kurtosis101677.4802
Mean218.1533094
Median Absolute Deviation (MAD)5
Skewness311.307595
Sum24759528
Variance355556735.8
MonotonicityNot monotonic
2024-10-21T22:54:20.342254image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19247
17.0%
1 13501
 
11.9%
2 9528
 
8.4%
3 6928
 
6.1%
4 5170
 
4.6%
5 4158
 
3.7%
6 3436
 
3.0%
7 2997
 
2.6%
8 2582
 
2.3%
9 2341
 
2.1%
Other values (2225) 43608
38.4%
ValueCountFrequency (%)
0 19247
17.0%
1 13501
11.9%
2 9528
8.4%
3 6928
 
6.1%
4 5170
 
4.6%
ValueCountFrequency (%)
6179890 1
< 0.1%
756531 1
< 0.1%
493589 1
< 0.1%
468990 1
< 0.1%
386577 1
< 0.1%
Distinct970
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.37391626
Minimum0
Maximum945162
Zeros49095
Zeros (%)43.3%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:20.534055image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile27
Maximum945162
Range945162
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2880.538106
Coefficient of variation (CV)86.31106052
Kurtosis102146.61
Mean33.37391626
Median Absolute Deviation (MAD)1
Skewness312.2775196
Sum3787806
Variance8297499.781
MonotonicityNot monotonic
2024-10-21T22:54:20.743993image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 49095
43.3%
1 18607
 
16.4%
2 9988
 
8.8%
3 6447
 
5.7%
4 4332
 
3.8%
5 3411
 
3.0%
6 2676
 
2.4%
7 2036
 
1.8%
8 1632
 
1.4%
9 1354
 
1.2%
Other values (960) 13918
 
12.3%
ValueCountFrequency (%)
0 49095
43.3%
1 18607
 
16.4%
2 9988
 
8.8%
3 6447
 
5.7%
4 4332
 
3.8%
ValueCountFrequency (%)
945162 1
< 0.1%
108644 1
< 0.1%
75502 1
< 0.1%
59979 1
< 0.1%
57332 1
< 0.1%
Distinct1135
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.69754
Minimum0
Maximum1350802
Zeros42410
Zeros (%)37.4%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:20.948624image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile40
Maximum1350802
Range1350802
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4125.281339
Coefficient of variation (CV)86.48834592
Kurtosis101318.6689
Mean47.69754
Median Absolute Deviation (MAD)1
Skewness310.5795549
Sum5413480
Variance17017946.13
MonotonicityNot monotonic
2024-10-21T22:54:21.152729image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42410
37.4%
1 18193
16.0%
2 9959
 
8.8%
3 6636
 
5.8%
4 4812
 
4.2%
5 3648
 
3.2%
6 2918
 
2.6%
7 2305
 
2.0%
8 2003
 
1.8%
9 1674
 
1.5%
Other values (1125) 18938
16.7%
ValueCountFrequency (%)
0 42410
37.4%
1 18193
16.0%
2 9959
 
8.8%
3 6636
 
5.8%
4 4812
 
4.2%
ValueCountFrequency (%)
1350802 1
< 0.1%
167345 1
< 0.1%
114412 1
< 0.1%
113615 1
< 0.1%
77924 1
< 0.1%
Distinct1061
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.23661627
Minimum0
Maximum1168098
Zeros47822
Zeros (%)42.1%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:21.345824image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile32
Maximum1168098
Range1168098
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3559.601505
Coefficient of variation (CV)86.32137713
Kurtosis102186.6844
Mean41.23661627
Median Absolute Deviation (MAD)1
Skewness312.3283419
Sum4680191
Variance12670762.87
MonotonicityNot monotonic
2024-10-21T22:54:21.520952image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 47822
42.1%
1 18395
 
16.2%
2 10053
 
8.9%
3 6344
 
5.6%
4 4388
 
3.9%
5 3381
 
3.0%
6 2585
 
2.3%
7 2092
 
1.8%
8 1647
 
1.5%
9 1391
 
1.2%
Other values (1051) 15398
 
13.6%
ValueCountFrequency (%)
0 47822
42.1%
1 18395
 
16.2%
2 10053
 
8.9%
3 6344
 
5.6%
4 4388
 
3.9%
ValueCountFrequency (%)
1168098 1
< 0.1%
128661 1
< 0.1%
89262 1
< 0.1%
83316 1
< 0.1%
75506 1
< 0.1%
Distinct1058
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.57376471
Minimum0
Maximum1149257
Zeros48302
Zeros (%)42.6%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:21.695967image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile33
Maximum1149257
Range1149257
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3504.2047
Coefficient of variation (CV)86.36626956
Kurtosis101954.7769
Mean40.57376471
Median Absolute Deviation (MAD)1
Skewness311.8625868
Sum4604960
Variance12279450.58
MonotonicityNot monotonic
2024-10-21T22:54:21.907724image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 48302
42.6%
1 18030
 
15.9%
2 9600
 
8.5%
3 6289
 
5.5%
4 4397
 
3.9%
5 3267
 
2.9%
6 2557
 
2.3%
7 2067
 
1.8%
8 1701
 
1.5%
9 1397
 
1.2%
Other values (1048) 15889
 
14.0%
ValueCountFrequency (%)
0 48302
42.6%
1 18030
 
15.9%
2 9600
 
8.5%
3 6289
 
5.5%
4 4397
 
3.9%
ValueCountFrequency (%)
1149257 1
< 0.1%
131212 1
< 0.1%
91584 1
< 0.1%
85252 1
< 0.1%
73987 1
< 0.1%

Población con limitación
Real number (ℝ)

Skewed  Zeros 

Distinct3158
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean491.8808769
Minimum0
Maximum13934448
Zeros10320
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:23.704588image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median10
Q341
95-th percentile349
Maximum13934448
Range13934448
Interquartile range (IQR)38

Descriptive statistics

Standard deviation42583.52145
Coefficient of variation (CV)86.57283389
Kurtosis101058.3168
Mean491.8808769
Median Absolute Deviation (MAD)9
Skewness310.079821
Sum55826512
Variance1813356299
MonotonicityNot monotonic
2024-10-21T22:54:23.891454image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10320
 
9.1%
1 9426
 
8.3%
2 8269
 
7.3%
3 6715
 
5.9%
4 5268
 
4.6%
5 4280
 
3.8%
6 3429
 
3.0%
7 2992
 
2.6%
8 2596
 
2.3%
9 2395
 
2.1%
Other values (3148) 57806
50.9%
ValueCountFrequency (%)
0 10320
9.1%
1 9426
8.3%
2 8269
7.3%
3 6715
5.9%
4 5268
4.6%
ValueCountFrequency (%)
13934448 1
< 0.1%
1928850 1
< 0.1%
1141218 1
< 0.1%
1030435 1
< 0.1%
826012 1
< 0.1%
Distinct1936
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.1421284
Minimum0
Maximum4365234
Zeros23562
Zeros (%)20.8%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:24.093568image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q315
95-th percentile117
Maximum4365234
Range4365234
Interquartile range (IQR)14

Descriptive statistics

Standard deviation13330.90216
Coefficient of variation (CV)86.48448223
Kurtosis101329.1953
Mean154.1421284
Median Absolute Deviation (MAD)4
Skewness310.5997713
Sum17494515
Variance177712952.4
MonotonicityNot monotonic
2024-10-21T22:54:24.274096image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23562
20.8%
1 15191
13.4%
2 10218
 
9.0%
3 7050
 
6.2%
4 5352
 
4.7%
5 4219
 
3.7%
6 3472
 
3.1%
7 3053
 
2.7%
8 2586
 
2.3%
9 2206
 
1.9%
Other values (1926) 36587
32.2%
ValueCountFrequency (%)
0 23562
20.8%
1 15191
13.4%
2 10218
9.0%
3 7050
 
6.2%
4 5352
 
4.7%
ValueCountFrequency (%)
4365234 1
< 0.1%
559098 1
< 0.1%
370714 1
< 0.1%
321859 1
< 0.1%
276051 1
< 0.1%
Distinct2562
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean316.7875608
Minimum0
Maximum8974853
Zeros18446
Zeros (%)16.3%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:24.443861image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q325
95-th percentile223
Maximum8974853
Range8974853
Interquartile range (IQR)24

Descriptive statistics

Standard deviation27449.92591
Coefficient of variation (CV)86.65089575
Kurtosis100730.6367
Mean316.7875608
Median Absolute Deviation (MAD)6
Skewness309.4383502
Sum35954121
Variance753498432.2
MonotonicityNot monotonic
2024-10-21T22:54:24.618927image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18446
 
16.3%
1 12359
 
10.9%
2 9199
 
8.1%
3 6748
 
5.9%
4 5015
 
4.4%
5 4038
 
3.6%
6 3390
 
3.0%
7 2936
 
2.6%
8 2503
 
2.2%
9 2260
 
2.0%
Other values (2552) 46602
41.1%
ValueCountFrequency (%)
0 18446
16.3%
1 12359
10.9%
2 9199
8.1%
3 6748
 
5.9%
4 5015
 
4.4%
ValueCountFrequency (%)
8974853 1
< 0.1%
1311932 1
< 0.1%
731537 1
< 0.1%
673412 1
< 0.1%
503446 1
< 0.1%
Distinct923
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.53281173
Minimum0
Maximum864662
Zeros56095
Zeros (%)49.4%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:24.823887image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile24
Maximum864662
Range864662
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2638.884245
Coefficient of variation (CV)86.42781637
Kurtosis101588.9394
Mean30.53281173
Median Absolute Deviation (MAD)1
Skewness311.1654146
Sum3465352
Variance6963710.06
MonotonicityNot monotonic
2024-10-21T22:54:25.006903image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56095
49.4%
1 17796
 
15.7%
2 9168
 
8.1%
3 5530
 
4.9%
4 3870
 
3.4%
5 2692
 
2.4%
6 2111
 
1.9%
7 1661
 
1.5%
8 1373
 
1.2%
9 1100
 
1.0%
Other values (913) 12100
 
10.7%
ValueCountFrequency (%)
0 56095
49.4%
1 17796
 
15.7%
2 9168
 
8.1%
3 5530
 
4.9%
4 3870
 
3.4%
ValueCountFrequency (%)
864662 1
< 0.1%
113471 1
< 0.1%
64463 1
< 0.1%
58899 1
< 0.1%
53378 1
< 0.1%
Distinct1577
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.400393
Minimum0
Maximum2900108
Zeros30306
Zeros (%)26.7%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:25.244932image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q310
95-th percentile75
Maximum2900108
Range2900108
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8874.849918
Coefficient of variation (CV)86.66812364
Kurtosis100513.5074
Mean102.400393
Median Absolute Deviation (MAD)2
Skewness308.9666434
Sum11622035
Variance78762961.07
MonotonicityNot monotonic
2024-10-21T22:54:25.501366image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30306
26.7%
1 16870
14.9%
2 10467
 
9.2%
3 7039
 
6.2%
4 5231
 
4.6%
5 4124
 
3.6%
6 3318
 
2.9%
7 2837
 
2.5%
8 2488
 
2.2%
9 2046
 
1.8%
Other values (1567) 28770
25.3%
ValueCountFrequency (%)
0 30306
26.7%
1 16870
14.9%
2 10467
 
9.2%
3 7039
 
6.2%
4 5231
 
4.6%
ValueCountFrequency (%)
2900108 1
< 0.1%
413380 1
< 0.1%
258902 1
< 0.1%
227119 1
< 0.1%
174896 1
< 0.1%
Distinct788
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.7853757
Minimum0
Maximum673540
Zeros63003
Zeros (%)55.5%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:25.693609image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile18
Maximum673540
Range673540
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2060.316711
Coefficient of variation (CV)86.62115483
Kurtosis100672.5131
Mean23.7853757
Median Absolute Deviation (MAD)0
Skewness309.2580349
Sum2699545
Variance4244904.949
MonotonicityNot monotonic
2024-10-21T22:54:25.888518image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63003
55.5%
1 17159
 
15.1%
2 8295
 
7.3%
3 4948
 
4.4%
4 3279
 
2.9%
5 2356
 
2.1%
6 1729
 
1.5%
7 1336
 
1.2%
8 1096
 
1.0%
9 847
 
0.7%
Other values (778) 9448
 
8.3%
ValueCountFrequency (%)
0 63003
55.5%
1 17159
 
15.1%
2 8295
 
7.3%
3 4948
 
4.4%
4 3279
 
2.9%
ValueCountFrequency (%)
673540 1
< 0.1%
94823 1
< 0.1%
55719 1
< 0.1%
47667 1
< 0.1%
43550 1
< 0.1%
Distinct1521
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.27103158
Minimum0
Maximum2698640
Zeros38704
Zeros (%)34.1%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:26.104918image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q38
95-th percentile71
Maximum2698640
Range2698640
Interquartile range (IQR)8

Descriptive statistics

Standard deviation8243.454426
Coefficient of variation (CV)86.52634793
Kurtosis101225.2169
Mean95.27103158
Median Absolute Deviation (MAD)2
Skewness310.378642
Sum10812881
Variance67954540.87
MonotonicityNot monotonic
2024-10-21T22:54:26.302365image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 38704
34.1%
1 16149
14.2%
2 9474
 
8.3%
3 6388
 
5.6%
4 4454
 
3.9%
5 3498
 
3.1%
6 2962
 
2.6%
7 2260
 
2.0%
8 2006
 
1.8%
9 1713
 
1.5%
Other values (1511) 25888
22.8%
ValueCountFrequency (%)
0 38704
34.1%
1 16149
14.2%
2 9474
 
8.3%
3 6388
 
5.6%
4 4454
 
3.9%
ValueCountFrequency (%)
2698640 1
< 0.1%
345634 1
< 0.1%
226966 1
< 0.1%
214554 1
< 0.1%
169697 1
< 0.1%

Población con algún problema o condición mental
Real number (ℝ)

Skewed  Zeros 

Distinct1158
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.13467435
Minimum0
Maximum1590583
Zeros47191
Zeros (%)41.6%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:26.507074image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile36
Maximum1590583
Range1590583
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4861.971725
Coefficient of variation (CV)86.61262903
Kurtosis100954.6696
Mean56.13467435
Median Absolute Deviation (MAD)1
Skewness309.7727112
Sum6371061
Variance23638769.06
MonotonicityNot monotonic
2024-10-21T22:54:26.741380image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 47191
41.6%
1 18124
 
16.0%
2 9744
 
8.6%
3 6205
 
5.5%
4 4449
 
3.9%
5 3333
 
2.9%
6 2628
 
2.3%
7 2094
 
1.8%
8 1841
 
1.6%
9 1439
 
1.3%
Other values (1148) 16448
 
14.5%
ValueCountFrequency (%)
0 47191
41.6%
1 18124
 
16.0%
2 9744
 
8.6%
3 6205
 
5.5%
4 4449
 
3.9%
ValueCountFrequency (%)
1590583 1
< 0.1%
205307 1
< 0.1%
145428 1
< 0.1%
109590 1
< 0.1%
105332 1
< 0.1%
Distinct7038
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3699.771322
Minimum0
Maximum104815785
Zeros85
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:26.960793image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q122
median84
Q3301
95-th percentile2468
Maximum104815785
Range104815785
Interquartile range (IQR)279

Descriptive statistics

Standard deviation320173.2917
Coefficient of variation (CV)86.53867059
Kurtosis101233.5353
Mean3699.771322
Median Absolute Deviation (MAD)72
Skewness310.4052454
Sum419909246
Variance1.025109367 × 1011
MonotonicityNot monotonic
2024-10-21T22:54:27.180213image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 1891
 
1.7%
9 1806
 
1.6%
8 1782
 
1.6%
12 1781
 
1.6%
11 1752
 
1.5%
13 1637
 
1.4%
14 1566
 
1.4%
7 1555
 
1.4%
16 1469
 
1.3%
15 1401
 
1.2%
Other values (7028) 96856
85.3%
ValueCountFrequency (%)
0 85
 
0.1%
1 224
 
0.2%
2 423
0.4%
3 687
0.6%
4 907
0.8%
ValueCountFrequency (%)
104815785 1
< 0.1%
14186323 1
< 0.1%
7489519 1
< 0.1%
7026046 1
< 0.1%
6514347 1
< 0.1%
Distinct1456
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.32927152
Minimum0
Maximum2359716
Zeros30586
Zeros (%)26.9%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:27.375229image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q38
95-th percentile63
Maximum2359716
Range2359716
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7208.369644
Coefficient of variation (CV)86.50465212
Kurtosis101218.5332
Mean83.32927152
Median Absolute Deviation (MAD)2
Skewness310.4026364
Sum9457539
Variance51960592.92
MonotonicityNot monotonic
2024-10-21T22:54:27.553178image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30586
26.9%
1 18670
16.4%
2 11743
 
10.3%
3 7629
 
6.7%
4 5692
 
5.0%
5 4280
 
3.8%
6 3459
 
3.0%
7 2784
 
2.5%
8 2359
 
2.1%
9 1967
 
1.7%
Other values (1446) 24327
21.4%
ValueCountFrequency (%)
0 30586
26.9%
1 18670
16.4%
2 11743
 
10.3%
3 7629
 
6.7%
4 5692
 
5.0%
ValueCountFrequency (%)
2359716 1
< 0.1%
326438 1
< 0.1%
170996 1
< 0.1%
152073 1
< 0.1%
136319 1
< 0.1%
Distinct1070
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.80859237
Minimum0
Maximum1155636
Zeros45030
Zeros (%)39.7%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:27.735104image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile31
Maximum1155636
Range1155636
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3530.419279
Coefficient of variation (CV)86.51166516
Kurtosis101193.0269
Mean40.80859237
Median Absolute Deviation (MAD)1
Skewness310.3515245
Sum4631612
Variance12463860.29
MonotonicityNot monotonic
2024-10-21T22:54:27.933861image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45030
39.7%
1 20701
18.2%
2 10947
 
9.6%
3 6912
 
6.1%
4 4650
 
4.1%
5 3392
 
3.0%
6 2573
 
2.3%
7 2026
 
1.8%
8 1590
 
1.4%
9 1346
 
1.2%
Other values (1060) 14329
 
12.6%
ValueCountFrequency (%)
0 45030
39.7%
1 20701
18.2%
2 10947
 
9.6%
3 6912
 
6.1%
4 4650
 
4.1%
ValueCountFrequency (%)
1155636 1
< 0.1%
160408 1
< 0.1%
83580 1
< 0.1%
74533 1
< 0.1%
67146 1
< 0.1%
Distinct1097
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.52067914
Minimum0
Maximum1204080
Zeros44045
Zeros (%)38.8%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:28.123756image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile32
Maximum1204080
Range1204080
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3677.956372
Coefficient of variation (CV)86.49806274
Kurtosis101242.3655
Mean42.52067914
Median Absolute Deviation (MAD)1
Skewness310.4502804
Sum4825927
Variance13527363.08
MonotonicityNot monotonic
2024-10-21T22:54:28.321267image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 44045
38.8%
1 20577
18.1%
2 11166
 
9.8%
3 6853
 
6.0%
4 4745
 
4.2%
5 3556
 
3.1%
6 2620
 
2.3%
7 2091
 
1.8%
8 1681
 
1.5%
9 1367
 
1.2%
Other values (1087) 14795
 
13.0%
ValueCountFrequency (%)
0 44045
38.8%
1 20577
18.1%
2 11166
 
9.8%
3 6853
 
6.0%
4 4745
 
4.2%
ValueCountFrequency (%)
1204080 1
< 0.1%
166030 1
< 0.1%
87416 1
< 0.1%
77540 1
< 0.1%
69173 1
< 0.1%
Distinct777
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.41904561
Minimum0
Maximum577029
Zeros62736
Zeros (%)55.3%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:28.510537image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile16
Maximum577029
Range577029
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1765.275924
Coefficient of variation (CV)86.45242086
Kurtosis100626.4094
Mean20.41904561
Median Absolute Deviation (MAD)0
Skewness309.126235
Sum2317480
Variance3116199.088
MonotonicityNot monotonic
2024-10-21T22:54:28.701684image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62736
55.3%
1 17862
 
15.7%
2 8807
 
7.8%
3 5067
 
4.5%
4 3215
 
2.8%
5 2374
 
2.1%
6 1720
 
1.5%
7 1294
 
1.1%
8 975
 
0.9%
9 854
 
0.8%
Other values (767) 8592
 
7.6%
ValueCountFrequency (%)
0 62736
55.3%
1 17862
 
15.7%
2 8807
 
7.8%
3 5067
 
4.5%
4 3215
 
2.8%
ValueCountFrequency (%)
577029 1
< 0.1%
76986 1
< 0.1%
50265 1
< 0.1%
43720 1
< 0.1%
37050 1
< 0.1%
Distinct553
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.738572284
Minimum0
Maximum275189
Zeros75972
Zeros (%)66.9%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:28.886415image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum275189
Range275189
Interquartile range (IQR)1

Descriptive statistics

Standard deviation842.1121091
Coefficient of variation (CV)86.47182405
Kurtosis100513.734
Mean9.738572284
Median Absolute Deviation (MAD)0
Skewness308.9006435
Sum1105289
Variance709152.8043
MonotonicityNot monotonic
2024-10-21T22:54:29.059054image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 75972
66.9%
1 16263
 
14.3%
2 6639
 
5.8%
3 3469
 
3.1%
4 2160
 
1.9%
5 1346
 
1.2%
6 995
 
0.9%
7 725
 
0.6%
8 582
 
0.5%
9 443
 
0.4%
Other values (543) 4902
 
4.3%
ValueCountFrequency (%)
0 75972
66.9%
1 16263
 
14.3%
2 6639
 
5.8%
3 3469
 
3.1%
4 2160
 
1.9%
ValueCountFrequency (%)
275189 1
< 0.1%
37116 1
< 0.1%
24856 1
< 0.1%
20558 1
< 0.1%
17627 1
< 0.1%
Distinct565
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.68047332
Minimum0
Maximum301840
Zeros73847
Zeros (%)65.1%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:29.264556image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum301840
Range301840
Interquartile range (IQR)1

Descriptive statistics

Standard deviation923.179748
Coefficient of variation (CV)86.4362206
Kurtosis100722.4528
Mean10.68047332
Median Absolute Deviation (MAD)0
Skewness309.3182729
Sum1212191
Variance852260.8471
MonotonicityNot monotonic
2024-10-21T22:54:29.437965image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 73847
65.1%
1 16975
 
15.0%
2 7094
 
6.3%
3 3807
 
3.4%
4 2232
 
2.0%
5 1471
 
1.3%
6 1004
 
0.9%
7 779
 
0.7%
8 620
 
0.5%
9 435
 
0.4%
Other values (555) 5232
 
4.6%
ValueCountFrequency (%)
0 73847
65.1%
1 16975
 
15.0%
2 7094
 
6.3%
3 3807
 
3.4%
4 2232
 
2.0%
ValueCountFrequency (%)
301840 1
< 0.1%
39870 1
< 0.1%
25409 1
< 0.1%
23162 1
< 0.1%
19423 1
< 0.1%
Distinct820
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.86527278
Minimum0
Maximum618233
Zeros53035
Zeros (%)46.7%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:29.625751image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile20
Maximum618233
Range618233
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1888.993652
Coefficient of variation (CV)86.39241186
Kurtosis101115.3284
Mean21.86527278
Median Absolute Deviation (MAD)1
Skewness310.1504936
Sum2481621
Variance3568297.017
MonotonicityNot monotonic
2024-10-21T22:54:29.811133image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53035
46.7%
1 19244
 
17.0%
2 10237
 
9.0%
3 6458
 
5.7%
4 4208
 
3.7%
5 2913
 
2.6%
6 2163
 
1.9%
7 1822
 
1.6%
8 1388
 
1.2%
9 1157
 
1.0%
Other values (810) 10871
 
9.6%
ValueCountFrequency (%)
0 53035
46.7%
1 19244
 
17.0%
2 10237
 
9.0%
3 6458
 
5.7%
4 4208
 
3.7%
ValueCountFrequency (%)
618233 1
< 0.1%
68394 1
< 0.1%
62614 1
< 0.1%
46067 1
< 0.1%
44167 1
< 0.1%
Distinct559
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.01498731
Minimum0
Maximum283195
Zeros68573
Zeros (%)60.4%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:29.989736image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile10
Maximum283195
Range283195
Interquartile range (IQR)1

Descriptive statistics

Standard deviation866.0830546
Coefficient of variation (CV)86.47869713
Kurtosis100753.5584
Mean10.01498731
Median Absolute Deviation (MAD)0
Skewness309.4235869
Sum1136661
Variance750099.8574
MonotonicityNot monotonic
2024-10-21T22:54:30.202494image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68573
60.4%
1 18327
 
16.1%
2 8234
 
7.3%
3 4387
 
3.9%
4 2724
 
2.4%
5 1869
 
1.6%
6 1338
 
1.2%
7 951
 
0.8%
8 703
 
0.6%
9 569
 
0.5%
Other values (549) 5821
 
5.1%
ValueCountFrequency (%)
0 68573
60.4%
1 18327
 
16.1%
2 8234
 
7.3%
3 4387
 
3.9%
4 2724
 
2.4%
ValueCountFrequency (%)
283195 1
< 0.1%
32538 1
< 0.1%
31111 1
< 0.1%
20579 1
< 0.1%
20507 1
< 0.1%
Distinct605
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.85028547
Minimum0
Maximum335038
Zeros64979
Zeros (%)57.3%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:30.406608image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile11
Maximum335038
Range335038
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1023.08469
Coefficient of variation (CV)86.33418091
Kurtosis101355.2791
Mean11.85028547
Median Absolute Deviation (MAD)0
Skewness310.6374981
Sum1344960
Variance1046702.283
MonotonicityNot monotonic
2024-10-21T22:54:30.618801image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64979
57.3%
1 19293
 
17.0%
2 8927
 
7.9%
3 4808
 
4.2%
4 3117
 
2.7%
5 1989
 
1.8%
6 1446
 
1.3%
7 1023
 
0.9%
8 843
 
0.7%
9 676
 
0.6%
Other values (595) 6395
 
5.6%
ValueCountFrequency (%)
0 64979
57.3%
1 19293
 
17.0%
2 8927
 
7.9%
3 4808
 
4.2%
4 3117
 
2.7%
ValueCountFrequency (%)
335038 1
< 0.1%
37283 1
< 0.1%
30076 1
< 0.1%
25488 1
< 0.1%
23660 1
< 0.1%

Población de 15 a 17 años que asiste a la escuela
Real number (ℝ)

Skewed  Zeros 

Distinct1950
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean166.7223691
Minimum0
Maximum4726359
Zeros29431
Zeros (%)25.9%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:30.807505image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q312
95-th percentile113
Maximum4726359
Range4726359
Interquartile range (IQR)12

Descriptive statistics

Standard deviation14442.89178
Coefficient of variation (CV)86.62839822
Kurtosis101085.4107
Mean166.7223691
Median Absolute Deviation (MAD)3
Skewness310.1653715
Sum18922322
Variance208597122.9
MonotonicityNot monotonic
2024-10-21T22:54:30.984493image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29431
25.9%
1 14928
13.2%
2 9578
 
8.4%
3 6691
 
5.9%
4 4972
 
4.4%
5 4015
 
3.5%
6 3296
 
2.9%
7 2800
 
2.5%
8 2372
 
2.1%
9 2057
 
1.8%
Other values (1940) 33356
29.4%
ValueCountFrequency (%)
0 29431
25.9%
1 14928
13.2%
2 9578
 
8.4%
3 6691
 
5.9%
4 4972
 
4.4%
ValueCountFrequency (%)
4726359 1
< 0.1%
685543 1
< 0.1%
307359 1
< 0.1%
303556 1
< 0.1%
296893 1
< 0.1%
Distinct1454
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.3144428
Minimum0
Maximum2390407
Zeros40947
Zeros (%)36.1%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:31.174299image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile58
Maximum2390407
Range2390407
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7304.795025
Coefficient of variation (CV)86.6375295
Kurtosis101077.7871
Mean84.3144428
Median Absolute Deviation (MAD)1
Skewness310.1538512
Sum9569352
Variance53360030.36
MonotonicityNot monotonic
2024-10-21T22:54:31.362142image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40947
36.1%
1 17032
15.0%
2 9772
 
8.6%
3 6450
 
5.7%
4 4708
 
4.1%
5 3661
 
3.2%
6 2966
 
2.6%
7 2346
 
2.1%
8 2026
 
1.8%
9 1735
 
1.5%
Other values (1444) 21853
19.3%
ValueCountFrequency (%)
0 40947
36.1%
1 17032
15.0%
2 9772
 
8.6%
3 6450
 
5.7%
4 4708
 
4.1%
ValueCountFrequency (%)
2390407 1
< 0.1%
347722 1
< 0.1%
154326 1
< 0.1%
152835 1
< 0.1%
151790 1
< 0.1%
Distinct1425
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.40792627
Minimum0
Maximum2335952
Zeros40876
Zeros (%)36.0%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:31.540224image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile56
Maximum2335952
Range2335952
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7138.172182
Coefficient of variation (CV)86.61997098
Kurtosis101088.9683
Mean82.40792627
Median Absolute Deviation (MAD)1
Skewness310.168151
Sum9352970
Variance50953502.1
MonotonicityNot monotonic
2024-10-21T22:54:31.770457image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40876
36.0%
1 17242
15.2%
2 9845
 
8.7%
3 6383
 
5.6%
4 4734
 
4.2%
5 3708
 
3.3%
6 2933
 
2.6%
7 2316
 
2.0%
8 2013
 
1.8%
9 1689
 
1.5%
Other values (1415) 21757
19.2%
ValueCountFrequency (%)
0 40876
36.0%
1 17242
15.2%
2 9845
 
8.7%
3 6383
 
5.6%
4 4734
 
4.2%
ValueCountFrequency (%)
2335952 1
< 0.1%
337821 1
< 0.1%
153033 1
< 0.1%
151766 1
< 0.1%
144058 1
< 0.1%

Población de 18 a 24 años que asiste a la escuela
Real number (ℝ)

Skewed  Zeros 

Distinct1799
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean172.6037217
Minimum0
Maximum4894125
Zeros42520
Zeros (%)37.5%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:31.977533image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile81
Maximum4894125
Range4894125
Interquartile range (IQR)6

Descriptive statistics

Standard deviation14996.82557
Coefficient of variation (CV)86.88587606
Kurtosis99982.82601
Mean172.6037217
Median Absolute Deviation (MAD)1
Skewness307.7588027
Sum19589832
Variance224904777.2
MonotonicityNot monotonic
2024-10-21T22:54:32.213268image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42520
37.5%
1 16469
 
14.5%
2 9691
 
8.5%
3 6048
 
5.3%
4 4477
 
3.9%
5 3308
 
2.9%
6 2717
 
2.4%
7 2193
 
1.9%
8 1863
 
1.6%
9 1514
 
1.3%
Other values (1789) 22696
20.0%
ValueCountFrequency (%)
0 42520
37.5%
1 16469
 
14.5%
2 9691
 
8.5%
3 6048
 
5.3%
4 4477
 
3.9%
ValueCountFrequency (%)
4894125 1
< 0.1%
713951 1
< 0.1%
446846 1
< 0.1%
321347 1
< 0.1%
276090 1
< 0.1%
Distinct1364
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.55514732
Minimum0
Maximum2482980
Zeros54232
Zeros (%)47.8%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:32.396102image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile41
Maximum2482980
Range2482980
Interquartile range (IQR)3

Descriptive statistics

Standard deviation7607.212946
Coefficient of variation (CV)86.88481692
Kurtosis100048.4443
Mean87.55514732
Median Absolute Deviation (MAD)1
Skewness307.8984594
Sum9937159
Variance57869688.8
MonotonicityNot monotonic
2024-10-21T22:54:32.586922image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54232
47.8%
1 17163
 
15.1%
2 8867
 
7.8%
3 5426
 
4.8%
4 3692
 
3.3%
5 2760
 
2.4%
6 2088
 
1.8%
7 1690
 
1.5%
8 1364
 
1.2%
9 1159
 
1.0%
Other values (1354) 15055
 
13.3%
ValueCountFrequency (%)
0 54232
47.8%
1 17163
 
15.1%
2 8867
 
7.8%
3 5426
 
4.8%
4 3692
 
3.3%
ValueCountFrequency (%)
2482980 1
< 0.1%
361450 1
< 0.1%
224403 1
< 0.1%
164416 1
< 0.1%
137862 1
< 0.1%
Distinct1334
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.0485744
Minimum0
Maximum2411145
Zeros55152
Zeros (%)48.6%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:32.768424image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile40
Maximum2411145
Range2411145
Interquartile range (IQR)3

Descriptive statistics

Standard deviation7389.718121
Coefficient of variation (CV)86.88820681
Kurtosis99909.6338
Mean85.0485744
Median Absolute Deviation (MAD)1
Skewness307.6028052
Sum9652673
Variance54607933.91
MonotonicityNot monotonic
2024-10-21T22:54:32.965605image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55152
48.6%
1 17378
 
15.3%
2 8708
 
7.7%
3 5419
 
4.8%
4 3604
 
3.2%
5 2591
 
2.3%
6 2040
 
1.8%
7 1601
 
1.4%
8 1340
 
1.2%
9 1133
 
1.0%
Other values (1324) 14530
 
12.8%
ValueCountFrequency (%)
0 55152
48.6%
1 17378
 
15.3%
2 8708
 
7.7%
3 5419
 
4.8%
4 3604
 
3.2%
ValueCountFrequency (%)
2411145 1
< 0.1%
352501 1
< 0.1%
222443 1
< 0.1%
156931 1
< 0.1%
138228 1
< 0.1%
Distinct675
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.61460316
Minimum0
Maximum412725
Zeros62237
Zeros (%)54.8%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:33.176161image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile16
Maximum412725
Range412725
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1265.585075
Coefficient of variation (CV)86.5972932
Kurtosis99734.93979
Mean14.61460316
Median Absolute Deviation (MAD)0
Skewness307.603882
Sum1658699
Variance1601705.581
MonotonicityNot monotonic
2024-10-21T22:54:33.406820image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62237
54.8%
1 17775
 
15.7%
2 8712
 
7.7%
3 5222
 
4.6%
4 3473
 
3.1%
5 2308
 
2.0%
6 1802
 
1.6%
7 1317
 
1.2%
8 1102
 
1.0%
9 867
 
0.8%
Other values (665) 8681
 
7.6%
ValueCountFrequency (%)
0 62237
54.8%
1 17775
 
15.7%
2 8712
 
7.7%
3 5222
 
4.6%
4 3473
 
3.1%
ValueCountFrequency (%)
412725 1
< 0.1%
69380 1
< 0.1%
31422 1
< 0.1%
30595 1
< 0.1%
25844 1
< 0.1%
Distinct449
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.310090223
Minimum0
Maximum178152
Zeros77609
Zeros (%)68.4%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:33.661578image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile7
Maximum178152
Range178152
Interquartile range (IQR)1

Descriptive statistics

Standard deviation547.7222089
Coefficient of variation (CV)86.80101068
Kurtosis98734.29654
Mean6.310090223
Median Absolute Deviation (MAD)0
Skewness305.7019323
Sum716170
Variance299999.6181
MonotonicityNot monotonic
2024-10-21T22:54:33.905430image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 77609
68.4%
1 15713
 
13.8%
2 6405
 
5.6%
3 3337
 
2.9%
4 2044
 
1.8%
5 1357
 
1.2%
6 908
 
0.8%
7 695
 
0.6%
8 590
 
0.5%
9 442
 
0.4%
Other values (439) 4396
 
3.9%
ValueCountFrequency (%)
0 77609
68.4%
1 15713
 
13.8%
2 6405
 
5.6%
3 3337
 
2.9%
4 2044
 
1.8%
ValueCountFrequency (%)
178152 1
< 0.1%
33237 1
< 0.1%
13814 1
< 0.1%
12768 1
< 0.1%
11191 1
< 0.1%
Distinct524
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.304512934
Minimum0
Maximum234573
Zeros71536
Zeros (%)63.0%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:34.150086image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9
Maximum234573
Range234573
Interquartile range (IQR)1

Descriptive statistics

Standard deviation718.0383942
Coefficient of variation (CV)86.46363728
Kurtosis100413.2271
Mean8.304512934
Median Absolute Deviation (MAD)0
Skewness308.9062696
Sum942529
Variance515579.1355
MonotonicityNot monotonic
2024-10-21T22:54:34.363000image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71536
63.0%
1 17347
 
15.3%
2 7600
 
6.7%
3 4136
 
3.6%
4 2455
 
2.2%
5 1750
 
1.5%
6 1203
 
1.1%
7 917
 
0.8%
8 651
 
0.6%
9 535
 
0.5%
Other values (514) 5366
 
4.7%
ValueCountFrequency (%)
0 71536
63.0%
1 17347
 
15.3%
2 7600
 
6.7%
3 4136
 
3.6%
4 2455
 
2.2%
ValueCountFrequency (%)
234573 1
< 0.1%
36143 1
< 0.1%
17827 1
< 0.1%
17608 1
< 0.1%
14653 1
< 0.1%

Población de 15 años y más analfabeta
Real number (ℝ)

Skewed  Zeros 

Distinct2174
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean157.7478766
Minimum0
Maximum4456431
Zeros12833
Zeros (%)11.3%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:34.589795image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median9
Q329
95-th percentile178
Maximum4456431
Range4456431
Interquartile range (IQR)27

Descriptive statistics

Standard deviation13653.42285
Coefficient of variation (CV)86.55218152
Kurtosis100041.6654
Mean157.7478766
Median Absolute Deviation (MAD)8
Skewness308.0142978
Sum17903753
Variance186415955.5
MonotonicityNot monotonic
2024-10-21T22:54:34.794485image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12833
 
11.3%
1 9886
 
8.7%
2 8031
 
7.1%
3 6337
 
5.6%
4 5261
 
4.6%
5 4330
 
3.8%
6 3763
 
3.3%
7 3330
 
2.9%
8 2928
 
2.6%
9 2680
 
2.4%
Other values (2164) 54117
47.7%
ValueCountFrequency (%)
0 12833
11.3%
1 9886
8.7%
2 8031
7.1%
3 6337
5.6%
4 5261
4.6%
ValueCountFrequency (%)
4456431 1
< 0.1%
517798 1
< 0.1%
512720 1
< 0.1%
372454 1
< 0.1%
351511 1
< 0.1%

Población femenina de 15 años y más analfabeta
Real number (ℝ)

Skewed  Zeros 

Distinct1720
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.66027878
Minimum0
Maximum2677192
Zeros19851
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:34.984790image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q317
95-th percentile108
Maximum2677192
Range2677192
Interquartile range (IQR)16

Descriptive statistics

Standard deviation8216.48081
Coefficient of variation (CV)86.79966842
Kurtosis99359.15154
Mean94.66027878
Median Absolute Deviation (MAD)5
Skewness306.6005631
Sum10743563
Variance67510556.9
MonotonicityNot monotonic
2024-10-21T22:54:35.216739image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19851
17.5%
1 13840
 
12.2%
2 9670
 
8.5%
3 7241
 
6.4%
4 5388
 
4.7%
5 4536
 
4.0%
6 3841
 
3.4%
7 3215
 
2.8%
8 2804
 
2.5%
9 2552
 
2.2%
Other values (1710) 40558
35.7%
ValueCountFrequency (%)
0 19851
17.5%
1 13840
12.2%
2 9670
8.5%
3 7241
 
6.4%
4 5388
 
4.7%
ValueCountFrequency (%)
2677192 1
< 0.1%
322586 1
< 0.1%
311134 1
< 0.1%
248391 1
< 0.1%
227856 1
< 0.1%

Población masculina de 15 años y más analfabeta
Real number (ℝ)

Skewed  Zeros 

Distinct1436
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.0875978
Minimum0
Maximum1779239
Zeros22047
Zeros (%)19.4%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:35.433194image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q312
95-th percentile72
Maximum1779239
Range1779239
Interquartile range (IQR)11

Descriptive statistics

Standard deviation5439.772675
Coefficient of variation (CV)86.22570623
Kurtosis100872.7905
Mean63.0875978
Median Absolute Deviation (MAD)4
Skewness309.737678
Sum7160190
Variance29591126.75
MonotonicityNot monotonic
2024-10-21T22:54:35.683777image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22047
19.4%
1 15105
13.3%
2 10587
 
9.3%
3 7805
 
6.9%
4 6088
 
5.4%
5 4889
 
4.3%
6 4039
 
3.6%
7 3423
 
3.0%
8 2915
 
2.6%
9 2630
 
2.3%
Other values (1426) 33968
29.9%
ValueCountFrequency (%)
0 22047
19.4%
1 15105
13.3%
2 10587
9.3%
3 7805
 
6.9%
4 6088
 
5.4%
ValueCountFrequency (%)
1779239 1
< 0.1%
206664 1
< 0.1%
190134 1
< 0.1%
124063 1
< 0.1%
123655 1
< 0.1%

Población de 15 años y más sin escolaridad
Real number (ℝ)

Skewed  Zeros 

Distinct2230
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean171.4456369
Minimum0
Maximum4841952
Zeros12159
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:35.900268image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median8
Q328
95-th percentile176
Maximum4841952
Range4841952
Interquartile range (IQR)26

Descriptive statistics

Standard deviation14807.80413
Coefficient of variation (CV)86.37025943
Kurtosis100755.6547
Mean171.4456369
Median Absolute Deviation (MAD)7
Skewness309.4449428
Sum19458394
Variance219271063.2
MonotonicityNot monotonic
2024-10-21T22:54:36.143748image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12159
 
10.7%
1 9674
 
8.5%
2 8277
 
7.3%
3 6549
 
5.8%
4 5462
 
4.8%
5 4512
 
4.0%
6 4036
 
3.6%
7 3419
 
3.0%
8 3033
 
2.7%
9 2777
 
2.4%
Other values (2220) 53598
47.2%
ValueCountFrequency (%)
0 12159
10.7%
1 9674
8.5%
2 8277
7.3%
3 6549
5.8%
4 5462
4.8%
ValueCountFrequency (%)
4841952 1
< 0.1%
517756 1
< 0.1%
508631 1
< 0.1%
452522 1
< 0.1%
318081 1
< 0.1%
Distinct1743
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.70018327
Minimum0
Maximum2791237
Zeros19443
Zeros (%)17.1%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:36.330678image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q315
95-th percentile102
Maximum2791237
Range2791237
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8550.977874
Coefficient of variation (CV)86.63588649
Kurtosis100071.3076
Mean98.70018327
Median Absolute Deviation (MAD)4
Skewness308.0359061
Sum11202076
Variance73119222.61
MonotonicityNot monotonic
2024-10-21T22:54:36.513516image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19443
17.1%
1 14382
 
12.7%
2 10118
 
8.9%
3 7357
 
6.5%
4 5719
 
5.0%
5 4777
 
4.2%
6 3963
 
3.5%
7 3356
 
3.0%
8 2909
 
2.6%
9 2642
 
2.3%
Other values (1733) 38830
34.2%
ValueCountFrequency (%)
0 19443
17.1%
1 14382
12.7%
2 10118
8.9%
3 7357
 
6.5%
4 5719
 
5.0%
ValueCountFrequency (%)
2791237 1
< 0.1%
307765 1
< 0.1%
303971 1
< 0.1%
287294 1
< 0.1%
199380 1
< 0.1%
Distinct1527
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.74545358
Minimum0
Maximum2050715
Zeros20680
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:36.713358image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q312
95-th percentile74
Maximum2050715
Range2050715
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6259.958642
Coefficient of variation (CV)86.05291924
Kurtosis101496.3718
Mean72.74545358
Median Absolute Deviation (MAD)4
Skewness310.9720438
Sum8256318
Variance39187082.2
MonotonicityNot monotonic
2024-10-21T22:54:36.898355image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20680
18.2%
1 15259
13.4%
2 10923
 
9.6%
3 8076
 
7.1%
4 6174
 
5.4%
5 5112
 
4.5%
6 4245
 
3.7%
7 3469
 
3.1%
8 2947
 
2.6%
9 2621
 
2.3%
Other values (1517) 33990
29.9%
ValueCountFrequency (%)
0 20680
18.2%
1 15259
13.4%
2 10923
9.6%
3 8076
 
7.1%
4 6174
 
5.4%
ValueCountFrequency (%)
2050715 1
< 0.1%
213785 1
< 0.1%
200866 1
< 0.1%
165228 1
< 0.1%
135428 1
< 0.1%
Distinct2694
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean273.5372084
Minimum0
Maximum7731820
Zeros7011
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:37.077644image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median12
Q343
95-th percentile276
Maximum7731820
Range7731820
Interquartile range (IQR)40

Descriptive statistics

Standard deviation23574.47349
Coefficient of variation (CV)86.18379061
Kurtosis101967.552
Mean273.5372084
Median Absolute Deviation (MAD)11
Skewness311.9618849
Sum31045379
Variance555755800.3
MonotonicityNot monotonic
2024-10-21T22:54:37.314375image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 7836
 
6.9%
1 7786
 
6.9%
0 7011
 
6.2%
3 6571
 
5.8%
4 5455
 
4.8%
5 4406
 
3.9%
6 3723
 
3.3%
7 3113
 
2.7%
8 2849
 
2.5%
9 2495
 
2.2%
Other values (2684) 62251
54.8%
ValueCountFrequency (%)
0 7011
6.2%
1 7786
6.9%
2 7836
6.9%
3 6571
5.8%
4 5455
4.8%
ValueCountFrequency (%)
7731820 1
< 0.1%
798976 1
< 0.1%
773815 1
< 0.1%
512086 1
< 0.1%
502321 1
< 0.1%
Distinct2032
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142.8410957
Minimum0
Maximum4042527
Zeros14753
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:37.575094image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q321
95-th percentile140
Maximum4042527
Range4042527
Interquartile range (IQR)20

Descriptive statistics

Standard deviation12336.75965
Coefficient of variation (CV)86.36701918
Kurtosis101607.6159
Mean142.8410957
Median Absolute Deviation (MAD)5
Skewness311.2102521
Sum16211893
Variance152195638.8
MonotonicityNot monotonic
2024-10-21T22:54:37.798586image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14753
 
13.0%
1 14018
 
12.4%
2 10237
 
9.0%
3 7263
 
6.4%
4 5541
 
4.9%
5 4455
 
3.9%
6 3865
 
3.4%
7 3185
 
2.8%
8 2806
 
2.5%
9 2515
 
2.2%
Other values (2022) 44858
39.5%
ValueCountFrequency (%)
0 14753
13.0%
1 14018
12.4%
2 10237
9.0%
3 7263
6.4%
4 5541
 
4.9%
ValueCountFrequency (%)
4042527 1
< 0.1%
436067 1
< 0.1%
418794 1
< 0.1%
269339 1
< 0.1%
262823 1
< 0.1%
Distinct1976
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130.6961126
Minimum0
Maximum3689293
Zeros12388
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:38.035250image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median6
Q322
95-th percentile135
Maximum3689293
Range3689293
Interquartile range (IQR)20

Descriptive statistics

Standard deviation11239.75436
Coefficient of variation (CV)85.99914817
Kurtosis102290.4594
Mean130.6961126
Median Absolute Deviation (MAD)5
Skewness312.6367166
Sum14833486
Variance126332078
MonotonicityNot monotonic
2024-10-21T22:54:38.228751image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 13067
 
11.5%
0 12388
 
10.9%
2 10251
 
9.0%
3 7401
 
6.5%
4 5610
 
4.9%
5 4568
 
4.0%
6 3849
 
3.4%
7 3339
 
2.9%
8 2913
 
2.6%
9 2615
 
2.3%
Other values (1966) 47495
41.8%
ValueCountFrequency (%)
0 12388
10.9%
1 13067
11.5%
2 10251
9.0%
3 7401
6.5%
4 5610
4.9%
ValueCountFrequency (%)
3689293 1
< 0.1%
380182 1
< 0.1%
337748 1
< 0.1%
249263 1
< 0.1%
242666 1
< 0.1%

Población de 15 años y más con primaria completa
Real number (ℝ)

Skewed  Zeros 

Distinct3157
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean435.4522891
Minimum0
Maximum12325433
Zeros5491
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:38.437335image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median14
Q350
95-th percentile353
Maximum12325433
Range12325433
Interquartile range (IQR)46

Descriptive statistics

Standard deviation37641.18212
Coefficient of variation (CV)86.44157595
Kurtosis101321.0188
Mean435.4522891
Median Absolute Deviation (MAD)12
Skewness310.5969102
Sum49422093
Variance1416858591
MonotonicityNot monotonic
2024-10-21T22:54:38.684790image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 7240
 
6.4%
1 7177
 
6.3%
3 6429
 
5.7%
0 5491
 
4.8%
4 5196
 
4.6%
5 4232
 
3.7%
6 3669
 
3.2%
7 3035
 
2.7%
8 2723
 
2.4%
9 2410
 
2.1%
Other values (3147) 65894
58.1%
ValueCountFrequency (%)
0 5491
4.8%
1 7177
6.3%
2 7240
6.4%
3 6429
5.7%
4 5196
4.6%
ValueCountFrequency (%)
12325433 1
< 0.1%
1595527 1
< 0.1%
908655 1
< 0.1%
883372 1
< 0.1%
793387 1
< 0.1%
Distinct2375
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean230.0355343
Minimum0
Maximum6515268
Zeros12313
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:38.860003image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q325
95-th percentile181
Maximum6515268
Range6515268
Interquartile range (IQR)23

Descriptive statistics

Standard deviation19911.92025
Coefficient of variation (CV)86.56019303
Kurtosis101027.2392
Mean230.0355343
Median Absolute Deviation (MAD)6
Skewness309.9899848
Sum26108113
Variance396484568.1
MonotonicityNot monotonic
2024-10-21T22:54:39.046592image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 13061
 
11.5%
0 12313
 
10.8%
2 9820
 
8.7%
3 7056
 
6.2%
4 5373
 
4.7%
5 4343
 
3.8%
6 3725
 
3.3%
7 3181
 
2.8%
8 2839
 
2.5%
9 2534
 
2.2%
Other values (2365) 49251
43.4%
ValueCountFrequency (%)
0 12313
10.8%
1 13061
11.5%
2 9820
8.7%
3 7056
6.2%
4 5373
4.7%
ValueCountFrequency (%)
6515268 1
< 0.1%
871046 1
< 0.1%
485334 1
< 0.1%
461672 1
< 0.1%
421210 1
< 0.1%
Distinct2276
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean205.4167548
Minimum0
Maximum5810165
Zeros11050
Zeros (%)9.7%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:39.241021image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q325
95-th percentile172
Maximum5810165
Range5810165
Interquartile range (IQR)23

Descriptive statistics

Standard deviation17730.89379
Coefficient of variation (CV)86.31668729
Kurtosis101614.9167
Mean205.4167548
Median Absolute Deviation (MAD)6
Skewness311.2038483
Sum23313980
Variance314384594.5
MonotonicityNot monotonic
2024-10-21T22:54:39.423666image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 12245
 
10.8%
0 11050
 
9.7%
2 9795
 
8.6%
3 7153
 
6.3%
4 5377
 
4.7%
5 4473
 
3.9%
6 3834
 
3.4%
7 3230
 
2.8%
8 2923
 
2.6%
9 2632
 
2.3%
Other values (2266) 50784
44.7%
ValueCountFrequency (%)
0 11050
9.7%
1 12245
10.8%
2 9795
8.6%
3 7153
6.3%
4 5377
4.7%
ValueCountFrequency (%)
5810165 1
< 0.1%
724481 1
< 0.1%
423321 1
< 0.1%
421700 1
< 0.1%
372177 1
< 0.1%
Distinct1611
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.0270847
Minimum0
Maximum2913915
Zeros30895
Zeros (%)27.2%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:39.607849image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q39
95-th percentile74
Maximum2913915
Range2913915
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8898.331237
Coefficient of variation (CV)86.36885405
Kurtosis101346.789
Mean103.0270847
Median Absolute Deviation (MAD)2
Skewness310.6143677
Sum11693162
Variance79180298.81
MonotonicityNot monotonic
2024-10-21T22:54:39.800950image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30895
27.2%
1 16683
14.7%
2 10337
 
9.1%
3 7184
 
6.3%
4 5366
 
4.7%
5 4302
 
3.8%
6 3454
 
3.0%
7 2850
 
2.5%
8 2408
 
2.1%
9 2114
 
1.9%
Other values (1601) 27903
24.6%
ValueCountFrequency (%)
0 30895
27.2%
1 16683
14.7%
2 10337
 
9.1%
3 7184
 
6.3%
4 5366
 
4.7%
ValueCountFrequency (%)
2913915 1
< 0.1%
375582 1
< 0.1%
208759 1
< 0.1%
200131 1
< 0.1%
195837 1
< 0.1%
Distinct1120
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.79827483
Minimum0
Maximum1297269
Zeros45583
Zeros (%)40.2%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:40.017355image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile33
Maximum1297269
Range1297269
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3961.202948
Coefficient of variation (CV)86.49240528
Kurtosis101377.3485
Mean45.79827483
Median Absolute Deviation (MAD)1
Skewness310.6636968
Sum5197921
Variance15691128.79
MonotonicityNot monotonic
2024-10-21T22:54:40.252620image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45583
40.2%
1 19146
16.9%
2 10327
 
9.1%
3 6797
 
6.0%
4 4662
 
4.1%
5 3435
 
3.0%
6 2657
 
2.3%
7 2124
 
1.9%
8 1695
 
1.5%
9 1488
 
1.3%
Other values (1110) 15582
 
13.7%
ValueCountFrequency (%)
0 45583
40.2%
1 19146
16.9%
2 10327
 
9.1%
3 6797
 
6.0%
4 4662
 
4.1%
ValueCountFrequency (%)
1297269 1
< 0.1%
163854 1
< 0.1%
94485 1
< 0.1%
90084 1
< 0.1%
87488 1
< 0.1%
Distinct1247
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.22880983
Minimum0
Maximum1616646
Zeros41433
Zeros (%)36.5%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:40.446214image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile42
Maximum1616646
Range1616646
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4937.365701
Coefficient of variation (CV)86.27412865
Kurtosis101303.0048
Mean57.22880983
Median Absolute Deviation (MAD)1
Skewness310.534371
Sum6495241
Variance24377580.07
MonotonicityNot monotonic
2024-10-21T22:54:40.653889image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 41433
36.5%
1 18555
16.3%
2 10438
 
9.2%
3 7018
 
6.2%
4 5005
 
4.4%
5 3807
 
3.4%
6 2964
 
2.6%
7 2395
 
2.1%
8 1903
 
1.7%
9 1642
 
1.4%
Other values (1237) 18336
16.2%
ValueCountFrequency (%)
0 41433
36.5%
1 18555
16.3%
2 10438
 
9.2%
3 7018
 
6.2%
4 5005
 
4.4%
ValueCountFrequency (%)
1616646 1
< 0.1%
211728 1
< 0.1%
118675 1
< 0.1%
108349 1
< 0.1%
105646 1
< 0.1%
Distinct3842
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean805.8649115
Minimum0
Maximum22833912
Zeros6623
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:40.850938image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median16
Q368
95-th percentile562.25
Maximum22833912
Range22833912
Interquartile range (IQR)64

Descriptive statistics

Standard deviation69785.67534
Coefficient of variation (CV)86.59723776
Kurtosis101033.2817
Mean805.8649115
Median Absolute Deviation (MAD)15
Skewness310.0722097
Sum91462444
Variance4870040483
MonotonicityNot monotonic
2024-10-21T22:54:41.042580image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 6846
 
6.0%
2 6830
 
6.0%
0 6623
 
5.8%
3 5868
 
5.2%
4 4868
 
4.3%
5 3945
 
3.5%
6 3336
 
2.9%
7 2859
 
2.5%
8 2482
 
2.2%
9 2198
 
1.9%
Other values (3832) 67641
59.6%
ValueCountFrequency (%)
0 6623
5.8%
1 6846
6.0%
2 6830
6.0%
3 5868
5.2%
4 4868
4.3%
ValueCountFrequency (%)
22833912 1
< 0.1%
3358430 1
< 0.1%
1485201 1
< 0.1%
1468292 1
< 0.1%
1319370 1
< 0.1%
Distinct2929
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean418.3460562
Minimum0
Maximum11857736
Zeros12289
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:41.263182image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median8
Q336
95-th percentile294
Maximum11857736
Range11857736
Interquartile range (IQR)34

Descriptive statistics

Standard deviation36226.86809
Coefficient of variation (CV)86.5954574
Kurtosis101176.0318
Mean418.3460562
Median Absolute Deviation (MAD)7
Skewness310.3561952
Sum47480604
Variance1312385972
MonotonicityNot monotonic
2024-10-21T22:54:41.489505image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12289
 
10.8%
1 11702
 
10.3%
2 8893
 
7.8%
3 6542
 
5.8%
4 4887
 
4.3%
5 4003
 
3.5%
6 3281
 
2.9%
7 2854
 
2.5%
8 2434
 
2.1%
9 2244
 
2.0%
Other values (2919) 54367
47.9%
ValueCountFrequency (%)
0 12289
10.8%
1 11702
10.3%
2 8893
7.8%
3 6542
5.8%
4 4887
 
4.3%
ValueCountFrequency (%)
11857736 1
< 0.1%
1711265 1
< 0.1%
774113 1
< 0.1%
753306 1
< 0.1%
707292 1
< 0.1%
Distinct2820
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean387.5188553
Minimum0
Maximum10976176
Zeros12938
Zeros (%)11.4%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:41.692344image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median8
Q332
95-th percentile271
Maximum10976176
Range10976176
Interquartile range (IQR)30

Descriptive statistics

Standard deviation33559.78548
Coefficient of variation (CV)86.60168407
Kurtosis100867.8577
Mean387.5188553
Median Absolute Deviation (MAD)7
Skewness309.7424807
Sum43981840
Variance1126259201
MonotonicityNot monotonic
2024-10-21T22:54:41.882501image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12938
 
11.4%
1 11792
 
10.4%
2 9113
 
8.0%
3 6676
 
5.9%
4 5080
 
4.5%
5 3946
 
3.5%
6 3457
 
3.0%
7 2802
 
2.5%
8 2559
 
2.3%
9 2306
 
2.0%
Other values (2810) 52827
46.5%
ValueCountFrequency (%)
0 12938
11.4%
1 11792
10.4%
2 9113
8.0%
3 6676
5.9%
4 5080
 
4.5%
ValueCountFrequency (%)
10976176 1
< 0.1%
1647165 1
< 0.1%
714986 1
< 0.1%
711088 1
< 0.1%
617306 1
< 0.1%
Distinct4176
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1409.878709
Minimum0
Maximum39977750
Zeros14374
Zeros (%)12.7%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:42.080037image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median9
Q341
95-th percentile581
Maximum39977750
Range39977750
Interquartile range (IQR)39

Descriptive statistics

Standard deviation122721.4921
Coefficient of variation (CV)87.04400691
Kurtosis99277.46174
Mean1409.878709
Median Absolute Deviation (MAD)9
Skewness306.2944049
Sum160015594
Variance1.506056463 × 1010
MonotonicityNot monotonic
2024-10-21T22:54:42.299598image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14374
 
12.7%
1 9552
 
8.4%
2 7655
 
6.7%
3 6070
 
5.3%
4 4886
 
4.3%
5 4205
 
3.7%
6 3491
 
3.1%
7 2913
 
2.6%
8 2602
 
2.3%
9 2244
 
2.0%
Other values (4166) 55504
48.9%
ValueCountFrequency (%)
0 14374
12.7%
1 9552
8.4%
2 7655
6.7%
3 6070
5.3%
4 4886
 
4.3%
ValueCountFrequency (%)
39977750 1
< 0.1%
5814269 1
< 0.1%
4516388 1
< 0.1%
2673525 1
< 0.1%
2259772 1
< 0.1%
Distinct3186
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean719.6005322
Minimum0
Maximum20408275
Zeros22084
Zeros (%)19.5%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:42.517968image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q321
95-th percentile297
Maximum20408275
Range20408275
Interquartile range (IQR)20

Descriptive statistics

Standard deviation62653.6642
Coefficient of variation (CV)87.06728441
Kurtosis99243.65306
Mean719.6005322
Median Absolute Deviation (MAD)4
Skewness306.2302228
Sum81671782
Variance3925481637
MonotonicityNot monotonic
2024-10-21T22:54:42.723642image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22084
19.5%
1 13629
 
12.0%
2 9315
 
8.2%
3 6809
 
6.0%
4 5022
 
4.4%
5 3875
 
3.4%
6 3309
 
2.9%
7 2858
 
2.5%
8 2456
 
2.2%
9 2113
 
1.9%
Other values (3176) 42026
37.0%
ValueCountFrequency (%)
0 22084
19.5%
1 13629
12.0%
2 9315
8.2%
3 6809
 
6.0%
4 5022
 
4.4%
ValueCountFrequency (%)
20408275 1
< 0.1%
2965255 1
< 0.1%
2341854 1
< 0.1%
1365531 1
< 0.1%
1175450 1
< 0.1%
Distinct3116
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean690.2781772
Minimum0
Maximum19569475
Zeros22363
Zeros (%)19.7%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:42.928546image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q320
95-th percentile285.25
Maximum19569475
Range19569475
Interquartile range (IQR)19

Descriptive statistics

Standard deviation60069.33016
Coefficient of variation (CV)87.02191688
Kurtosis99302.88632
Mean690.2781772
Median Absolute Deviation (MAD)4
Skewness306.3403449
Sum78343812
Variance3608324426
MonotonicityNot monotonic
2024-10-21T22:54:43.148606image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22363
19.7%
1 13522
 
11.9%
2 9470
 
8.3%
3 6643
 
5.9%
4 5191
 
4.6%
5 4003
 
3.5%
6 3331
 
2.9%
7 2820
 
2.5%
8 2447
 
2.2%
9 2147
 
1.9%
Other values (3106) 41559
36.6%
ValueCountFrequency (%)
0 22363
19.7%
1 13522
11.9%
2 9470
8.3%
3 6643
 
5.9%
4 5191
 
4.6%
ValueCountFrequency (%)
19569475 1
< 0.1%
2849014 1
< 0.1%
2174534 1
< 0.1%
1307994 1
< 0.1%
1096800 1
< 0.1%
Distinct1559
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.71141353
Minimum0
Maximum18.38
Zeros283
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:43.360166image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.56
Q15.56
median6.69
Q37.82
95-th percentile9.86
Maximum18.38
Range18.38
Interquartile range (IQR)2.26

Descriptive statistics

Standard deviation1.993196491
Coefficient of variation (CV)0.2969860942
Kurtosis1.991046133
Mean6.71141353
Median Absolute Deviation (MAD)1.13
Skewness0.3038562283
Sum761718.59
Variance3.972832251
MonotonicityNot monotonic
2024-10-21T22:54:43.550205image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 943
 
0.8%
7 781
 
0.7%
5 660
 
0.6%
8 517
 
0.5%
6.5 484
 
0.4%
7.5 445
 
0.4%
4 438
 
0.4%
5.5 407
 
0.4%
6.33 391
 
0.3%
6.67 388
 
0.3%
Other values (1549) 108042
95.2%
ValueCountFrequency (%)
0 283
0.2%
0.05 2
 
< 0.1%
0.06 2
 
< 0.1%
0.07 2
 
< 0.1%
0.08 1
 
< 0.1%
ValueCountFrequency (%)
18.38 1
< 0.1%
18.22 1
< 0.1%
18.17 1
< 0.1%
18.14 2
< 0.1%
18 2
< 0.1%
Distinct1499
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.693661098
Minimum0
Maximum20
Zeros902
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:43.746701image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.08
Q15.48
median6.74
Q37.94
95-th percentile10
Maximum20
Range20
Interquartile range (IQR)2.46

Descriptive statistics

Standard deviation2.156187855
Coefficient of variation (CV)0.3221238457
Kurtosis1.690988457
Mean6.693661098
Median Absolute Deviation (MAD)1.24
Skewness0.1014656335
Sum759703.76
Variance4.649146066
MonotonicityNot monotonic
2024-10-21T22:54:43.945981image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 1956
 
1.7%
7 1423
 
1.3%
5 1188
 
1.0%
8 1113
 
1.0%
9 1084
 
1.0%
4 944
 
0.8%
0 902
 
0.8%
7.5 870
 
0.8%
3 843
 
0.7%
6.5 736
 
0.6%
Other values (1489) 102437
90.3%
ValueCountFrequency (%)
0 902
0.8%
0.05 1
 
< 0.1%
0.08 1
 
< 0.1%
0.09 1
 
< 0.1%
0.1 2
 
< 0.1%
ValueCountFrequency (%)
20 1
< 0.1%
19 2
< 0.1%
18.5 1
< 0.1%
18.4 1
< 0.1%
18.33 1
< 0.1%
Distinct1526
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.71466131
Minimum0
Maximum20
Zeros508
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:44.156303image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.39
Q15.5
median6.68
Q37.87
95-th percentile10.04
Maximum20
Range20
Interquartile range (IQR)2.37

Descriptive statistics

Standard deviation2.093713003
Coefficient of variation (CV)0.3118121534
Kurtosis2.031462037
Mean6.71466131
Median Absolute Deviation (MAD)1.18
Skewness0.3120277904
Sum762087.2
Variance4.383634137
MonotonicityNot monotonic
2024-10-21T22:54:44.391413image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 1821
 
1.6%
7 1306
 
1.2%
5 1267
 
1.1%
8 999
 
0.9%
4 952
 
0.8%
7.5 793
 
0.7%
9 781
 
0.7%
6.5 717
 
0.6%
3 700
 
0.6%
4.5 635
 
0.6%
Other values (1516) 103525
91.2%
ValueCountFrequency (%)
0 508
0.4%
0.05 1
 
< 0.1%
0.06 1
 
< 0.1%
0.1 1
 
< 0.1%
0.11 2
 
< 0.1%
ValueCountFrequency (%)
20 1
 
< 0.1%
19.4 1
 
< 0.1%
19 3
< 0.1%
18.83 1
 
< 0.1%
18.5 1
 
< 0.1%
Distinct5541
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2198.444659
Minimum0
Maximum62281634
Zeros629
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:44.586397image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q112
median43
Q3159
95-th percentile1323
Maximum62281634
Range62281634
Interquartile range (IQR)147

Descriptive statistics

Standard deviation190408.0668
Coefficient of variation (CV)86.61035248
Kurtosis100895.4299
Mean2198.444659
Median Absolute Deviation (MAD)37
Skewness309.6915631
Sum249514675
Variance3.62552319 × 1010
MonotonicityNot monotonic
2024-10-21T22:54:44.780365image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 3534
 
3.1%
6 3376
 
3.0%
4 3338
 
2.9%
7 3169
 
2.8%
8 2692
 
2.4%
9 2522
 
2.2%
3 2513
 
2.2%
10 2273
 
2.0%
11 2022
 
1.8%
12 1911
 
1.7%
Other values (5531) 86146
75.9%
ValueCountFrequency (%)
0 629
 
0.6%
1 600
 
0.5%
2 1182
 
1.0%
3 2513
2.2%
4 3338
2.9%
ValueCountFrequency (%)
62281634 1
< 0.1%
8544416 1
< 0.1%
5099957 1
< 0.1%
4244054 1
< 0.1%
3851221 1
< 0.1%
Distinct3797
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean898.4001022
Minimum0
Maximum25465693
Zeros10777
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:44.955595image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median11
Q351
95-th percentile491
Maximum25465693
Range25465693
Interquartile range (IQR)48

Descriptive statistics

Standard deviation77932.1277
Coefficient of variation (CV)86.7454573
Kurtosis100495.7909
Mean898.4001022
Median Absolute Deviation (MAD)10
Skewness308.8502387
Sum101964818
Variance6073416529
MonotonicityNot monotonic
2024-10-21T22:54:45.166784image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10777
 
9.5%
1 8722
 
7.7%
2 7547
 
6.6%
3 6065
 
5.3%
4 4950
 
4.4%
5 4208
 
3.7%
6 3410
 
3.0%
7 2913
 
2.6%
8 2502
 
2.2%
9 2265
 
2.0%
Other values (3787) 60137
53.0%
ValueCountFrequency (%)
0 10777
9.5%
1 8722
7.7%
2 7547
6.6%
3 6065
5.3%
4 4950
4.4%
ValueCountFrequency (%)
25465693 1
< 0.1%
3549802 1
< 0.1%
2316485 1
< 0.1%
1765287 1
< 0.1%
1506726 1
< 0.1%
Distinct4589
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1300.044557
Minimum0
Maximum36815941
Zeros752
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:45.349677image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q18
median30
Q3107
95-th percentile839
Maximum36815941
Range36815941
Interquartile range (IQR)99

Descriptive statistics

Standard deviation112485.4794
Coefficient of variation (CV)86.5243263
Kurtosis101139.2228
Mean1300.044557
Median Absolute Deviation (MAD)26
Skewness310.2062742
Sum147549857
Variance1.265298308 × 1010
MonotonicityNot monotonic
2024-10-21T22:54:45.553461image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 5107
 
4.5%
3 4978
 
4.4%
5 4429
 
3.9%
6 3919
 
3.5%
7 3281
 
2.9%
8 2901
 
2.6%
9 2544
 
2.2%
2 2406
 
2.1%
10 2277
 
2.0%
11 1943
 
1.7%
Other values (4579) 79711
70.2%
ValueCountFrequency (%)
0 752
 
0.7%
1 965
 
0.9%
2 2406
2.1%
3 4978
4.4%
4 5107
4.5%
ValueCountFrequency (%)
36815941 1
< 0.1%
4994614 1
< 0.1%
2783472 1
< 0.1%
2478767 1
< 0.1%
2344495 1
< 0.1%
Distinct4788
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1337.415935
Minimum0
Maximum37891261
Zeros2955
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:45.774080image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median30
Q3116
95-th percentile953
Maximum37891261
Range37891261
Interquartile range (IQR)108

Descriptive statistics

Standard deviation115750.459
Coefficient of variation (CV)86.54783895
Kurtosis101211.3029
Mean1337.415935
Median Absolute Deviation (MAD)27
Skewness310.3749626
Sum151791359
Variance1.339816875 × 1010
MonotonicityNot monotonic
2024-10-21T22:54:45.984911image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 4031
 
3.6%
4 4002
 
3.5%
5 3747
 
3.3%
2 3646
 
3.2%
6 3294
 
2.9%
7 3074
 
2.7%
0 2955
 
2.6%
1 2913
 
2.6%
8 2649
 
2.3%
9 2273
 
2.0%
Other values (4778) 80912
71.3%
ValueCountFrequency (%)
0 2955
2.6%
1 2913
2.6%
2 3646
3.2%
3 4031
3.6%
4 4002
3.5%
ValueCountFrequency (%)
37891261 1
< 0.1%
5162516 1
< 0.1%
2798579 1
< 0.1%
2640286 1
< 0.1%
2344552 1
< 0.1%
Distinct4175
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean930.9377511
Minimum0
Maximum26379060
Zeros4127
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:46.175405image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median23
Q387
95-th percentile687
Maximum26379060
Range26379060
Interquartile range (IQR)81

Descriptive statistics

Standard deviation80564.01941
Coefficient of variation (CV)86.54071586
Kurtosis101305.3964
Mean930.9377511
Median Absolute Deviation (MAD)20
Skewness310.5793265
Sum105657711
Variance6490561223
MonotonicityNot monotonic
2024-10-21T22:54:46.415761image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 5272
 
4.6%
2 4847
 
4.3%
4 4747
 
4.2%
0 4127
 
3.6%
1 4097
 
3.6%
5 4093
 
3.6%
6 3513
 
3.1%
7 3106
 
2.7%
8 2616
 
2.3%
9 2250
 
2.0%
Other values (4165) 74828
65.9%
ValueCountFrequency (%)
0 4127
3.6%
1 4097
3.6%
2 4847
4.3%
3 5272
4.6%
4 4747
4.2%
ValueCountFrequency (%)
26379060 1
< 0.1%
3571005 1
< 0.1%
1910087 1
< 0.1%
1843317 1
< 0.1%
1623990 1
< 0.1%
Distinct2831
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean406.4781843
Minimum0
Maximum11512201
Zeros14886
Zeros (%)13.1%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:46.640087image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q328
95-th percentile268
Maximum11512201
Range11512201
Interquartile range (IQR)26

Descriptive statistics

Standard deviation35193.37128
Coefficient of variation (CV)86.5812057
Kurtosis100917.3446
Mean406.4781843
Median Absolute Deviation (MAD)7
Skewness309.7428511
Sum46133648
Variance1238573382
MonotonicityNot monotonic
2024-10-21T22:54:46.862516image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14886
 
13.1%
1 11960
 
10.5%
2 8911
 
7.9%
3 6641
 
5.9%
4 4979
 
4.4%
5 4148
 
3.7%
6 3522
 
3.1%
7 3074
 
2.7%
8 2685
 
2.4%
9 2348
 
2.1%
Other values (2821) 50342
44.4%
ValueCountFrequency (%)
0 14886
13.1%
1 11960
10.5%
2 8911
7.9%
3 6641
5.9%
4 4979
 
4.4%
ValueCountFrequency (%)
11512201 1
< 0.1%
1591511 1
< 0.1%
955262 1
< 0.1%
730199 1
< 0.1%
720562 1
< 0.1%

Población de 12 años y más ocupada
Real number (ℝ)

Skewed 

Distinct5454
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2157.524917
Minimum0
Maximum61121324
Zeros873
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:47.156393image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q111
median42
Q3156
95-th percentile1295.5
Maximum61121324
Range61121324
Interquartile range (IQR)145

Descriptive statistics

Standard deviation186853.8439
Coefficient of variation (CV)86.60564817
Kurtosis100909.985
Mean2157.524917
Median Absolute Deviation (MAD)36
Skewness309.7199917
Sum244870448
Variance3.491435898 × 1010
MonotonicityNot monotonic
2024-10-21T22:54:47.411387image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 3510
 
3.1%
4 3401
 
3.0%
6 3375
 
3.0%
7 3127
 
2.8%
8 2704
 
2.4%
3 2603
 
2.3%
9 2518
 
2.2%
10 2225
 
2.0%
11 2034
 
1.8%
12 1924
 
1.7%
Other values (5444) 86075
75.8%
ValueCountFrequency (%)
0 873
 
0.8%
1 733
 
0.6%
2 1296
 
1.1%
3 2603
2.3%
4 3401
3.0%
ValueCountFrequency (%)
61121324 1
< 0.1%
8364273 1
< 0.1%
4985469 1
< 0.1%
4186717 1
< 0.1%
3776676 1
< 0.1%

Población femenina de 12 años y más ocupada
Real number (ℝ)

Skewed  Zeros 

Distinct3762
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean886.8117467
Minimum0
Maximum25137019
Zeros11109
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:47.608884image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median11
Q351
95-th percentile487
Maximum25137019
Range25137019
Interquartile range (IQR)48

Descriptive statistics

Standard deviation76921.44541
Coefficient of variation (CV)86.73931722
Kurtosis100520.6669
Mean886.8117467
Median Absolute Deviation (MAD)10
Skewness308.9006612
Sum100649586
Variance5916908763
MonotonicityNot monotonic
2024-10-21T22:54:47.799937image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11109
 
9.8%
1 8743
 
7.7%
2 7524
 
6.6%
3 6072
 
5.3%
4 4899
 
4.3%
5 4188
 
3.7%
6 3421
 
3.0%
7 2895
 
2.6%
8 2473
 
2.2%
9 2253
 
2.0%
Other values (3752) 59919
52.8%
ValueCountFrequency (%)
0 11109
9.8%
1 8743
7.7%
2 7524
6.6%
3 6072
5.3%
4 4899
4.3%
ValueCountFrequency (%)
25137019 1
< 0.1%
3495702 1
< 0.1%
2273939 1
< 0.1%
1748352 1
< 0.1%
1487639 1
< 0.1%
Distinct4572
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1270.713171
Minimum0
Maximum35984305
Zeros1016
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:48.029356image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q18
median30
Q3105
95-th percentile819
Maximum35984305
Range35984305
Interquartile range (IQR)97

Descriptive statistics

Standard deviation109941.5079
Coefficient of variation (CV)86.51953127
Kurtosis101150.0364
Mean1270.713171
Median Absolute Deviation (MAD)26
Skewness310.2265877
Sum144220862
Variance1.208713516 × 1010
MonotonicityNot monotonic
2024-10-21T22:54:48.246037image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 5111
 
4.5%
3 5108
 
4.5%
5 4417
 
3.9%
6 3890
 
3.4%
7 3250
 
2.9%
8 2921
 
2.6%
9 2522
 
2.2%
2 2520
 
2.2%
10 2257
 
2.0%
11 1955
 
1.7%
Other values (4562) 79545
70.1%
ValueCountFrequency (%)
0 1016
 
0.9%
1 1136
 
1.0%
2 2520
2.2%
3 5108
4.5%
4 5111
4.5%
ValueCountFrequency (%)
35984305 1
< 0.1%
4868571 1
< 0.1%
2711530 1
< 0.1%
2438365 1
< 0.1%
2289037 1
< 0.1%

Población de 12 años y más desocupada
Real number (ℝ)

Skewed  Zeros 

Distinct1016
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.91974166
Minimum0
Maximum1160310
Zeros73145
Zeros (%)64.4%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:48.436212image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile27
Maximum1160310
Range1160310
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3557.268971
Coefficient of variation (CV)86.93283061
Kurtosis99796.36159
Mean40.91974166
Median Absolute Deviation (MAD)0
Skewness307.508858
Sum4644227
Variance12654162.53
MonotonicityNot monotonic
2024-10-21T22:54:48.619038image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 73145
64.4%
1 12211
 
10.8%
2 5721
 
5.0%
3 3438
 
3.0%
4 2318
 
2.0%
5 1712
 
1.5%
6 1284
 
1.1%
7 1116
 
1.0%
8 865
 
0.8%
9 723
 
0.6%
Other values (1006) 10963
 
9.7%
ValueCountFrequency (%)
0 73145
64.4%
1 12211
 
10.8%
2 5721
 
5.0%
3 3438
 
3.0%
4 2318
 
2.0%
ValueCountFrequency (%)
1160310 1
< 0.1%
180143 1
< 0.1%
114488 1
< 0.1%
74545 1
< 0.1%
57337 1
< 0.1%

Población femenina de 12 años y más desocupada
Real number (ℝ)

Skewed  Zeros 

Distinct573
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.58835554
Minimum0
Maximum328674
Zeros92811
Zeros (%)81.8%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:48.809208image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum328674
Range328674
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1012.463703
Coefficient of variation (CV)87.36905763
Kurtosis97942.69479
Mean11.58835554
Median Absolute Deviation (MAD)0
Skewness303.6879131
Sum1315232
Variance1025082.749
MonotonicityNot monotonic
2024-10-21T22:54:49.005297image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 92811
81.8%
1 8570
 
7.6%
2 3169
 
2.8%
3 1711
 
1.5%
4 1096
 
1.0%
5 709
 
0.6%
6 533
 
0.5%
7 415
 
0.4%
8 354
 
0.3%
9 284
 
0.3%
Other values (563) 3844
 
3.4%
ValueCountFrequency (%)
0 92811
81.8%
1 8570
 
7.6%
2 3169
 
2.8%
3 1711
 
1.5%
4 1096
 
1.0%
ValueCountFrequency (%)
328674 1
< 0.1%
54100 1
< 0.1%
42546 1
< 0.1%
19087 1
< 0.1%
16935 1
< 0.1%

Población masculina de 12 años y más desocupada
Real number (ℝ)

Skewed  Zeros 

Distinct869
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.33138613
Minimum0
Maximum831636
Zeros75996
Zeros (%)67.0%
Negative0
Negative (%)0.0%
Memory size886.8 KiB
2024-10-21T22:54:49.221851image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile22
Maximum831636
Range831636
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2545.903964
Coefficient of variation (CV)86.79794242
Kurtosis100372.0199
Mean29.33138613
Median Absolute Deviation (MAD)0
Skewness308.7022194
Sum3328995
Variance6481626.995
MonotonicityNot monotonic
2024-10-21T22:54:49.450419image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 75996
67.0%
1 11947
 
10.5%
2 5224
 
4.6%
3 3226
 
2.8%
4 2182
 
1.9%
5 1535
 
1.4%
6 1218
 
1.1%
7 995
 
0.9%
8 791
 
0.7%
9 670
 
0.6%
Other values (859) 9712
 
8.6%
ValueCountFrequency (%)
0 75996
67.0%
1 11947
 
10.5%
2 5224
 
4.6%
3 3226
 
2.8%
4 2182
 
1.9%
ValueCountFrequency (%)
831636 1
< 0.1%
126043 1
< 0.1%
71942 1
< 0.1%
55458 1
< 0.1%
40584 1
< 0.1%